Research Project Topics
A selection of interested research topics in Computer Science
Research Topics
Core research areas
Fundamental topics
This presentation is a systematic guide designed to help you, as a freshman, navigate through a selection of interested research topics in Computer Science. Our aim is to expose you to diverse research areas, and help you make informed decisions about your academic and research paths.
Link
Domain Specific - combined Research Areas
Inter-disciplinary topics
KSU UG Research
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Core Computing Research Topics
Software Engineering
Human computer Interaction
Artificial intelligence
Algorithms and data structures
Data Science
Computer Networks and Communication systems
Digital Signal Processing
Game Design and development
Robotics
Information systems
Cyber Security
Block chain technologies
Domain Specific - combined Research Areas
Healthcare
Education
Business
Financial Sector
Artificial intelligence
Natural Language Processing
Machine learning
Computer vision
Recommender Systems
Artificial Intelligence > Machine Learning
Machine Learning(ML) is a branch of artificial intelligence focused on building and developing models that allow computers to learn from and make decisions or predictions based on data. Reference Papers:
Machine learning: Trends, perspectives, and prospects
Machine Learning for All – Introducing Machine Learning in K-12
AN OVERVIEW OF MACHINE LEARNING
unsupervised learning
Advanced learning techniques
Supervised learning
Advanced learning techniques
Machng lering
Transfer learning
Deep learning
Federated learning
Ensemble learning
Reinforcement learning
Natural Language Processing
Natural Language Processing is how computers understand human language. It's used to help computers read, interpret, understand, and make sense of the human languages in a valuable way.
Reference Papers:
Natural Language Processing
Natural language processing: an introduction
Question answering (Chatbots and conversational agents )
Text classification
Advances in natural language processing
Named entitity recognition
Text generation
Information reteival & context extraction
Machng lering
Speech recognition
Sentiment analysis
Machine Translation
Text summarization
Computer vision
Computer Vision is how computers learn to 'see'. It helps computers identify and process objects in images and videos, like how our human eyes do.
Reference Papers:
Handwriting recognition
Image recognition
Color in Computer Vision: Fundamentals and Applications
Fundamentals of Computer Vision
Recent Advances in Computer Vision
Face detection
Pattern recognition
Data Science
Data mining & information retrieval
Machng lering
Big Data analytics
Data modeling and visualization
Predictive models
Time series analysis
Robotics
Robot navigation and control
Machng lering
Human-robot interaction
Biomedical robotics
Industrial robotics
Bio-inspired robotics
Cyber Security
Cryptography
Network security
Software Engineering
Software testing & verification
Requirement Engineering
Machng lering
Web service engineering & Microservices
Software developemnt
Project management and planning
Software Architecture & Design
Software maintenance
Game Design and development
Simulation
Machng lering
UX (User experienece) in game design
AR and VR in game development
Computer graphics and animation
Cloud-based game development
AI in game design
Video game design
Human computer Interaction
UI design and usability testing
Machng lering
Interaction design
User centered design
Wearable technologies
Intelligent user interfaces (AI in UI)
Computer Networks and Communication systems
Internet of things (IoT)
Network security
Cloud computing
Digital Signal Processing
Audio
EEG
Video
ECG
Information systems
Database management
Information retreival and decision support systems
Healthcare
AI in Healthcare
Data science in Healthcare
UI and Computer networs in healthcare
Education
AI in Education
Data science in Education
Business
Data Science in business
AI in Business
Financial Sector
Securty in banking
Data science in banking
AI in banking
AI in Healthcare
AI in Healthcare is about using artificial intelligence to help doctors diagnose diseases, suggest treatments, or predict patient outcomes. It's like having a smart assistant to help doctors make the best decisions.
Reference Papers:
NLP in Clinical Documentation
Ml in desease diagnosis
Artificial intelligence in healthcare
Artificial Intelligence in Healthcare: Review and Prediction Case Studies
AI in healthcare: A narrative review
Medical chatbot assitants
Medical decision support systems
Data science in Healthcare
Data Science in Healthcare is about using data to understand and improve health. It can help find patterns in patient data, predict disease outbreaks, or improve treatments.
Reference Papers:
Early disease detection
Deep learning for healthcare: review, opportunities and challenges
Clinical decision support systems in orthodontics: A narrative review of data science approaches
Learning health systems using data to drive healthcare improvement and impact: a systematic review
Disease prediction
UI and Computer networs in healthcare
UI and Computer Networks in Healthcare is about making medical software easy to use and ensuring that medical data can be shared safely and quickly. It helps doctors, nurses, and patients access and understand health information.
Reference Papers:
User experiences of virtual reality technologies for healthcare in learning: an integrative review
Health monitoring wearable devices
Classification of Healthcare Service Reviews with Sentiment Analysis to Refine User Satisfaction
Performance issues in wireless body area networks for the healthcare application: a survey and future prospects
AI in Education
Course recommender systems
Intelligent tutoring systems
AI in Education is about using artificial intelligence to make learning more personalized and efficient. It could be a smart tutor that adapts to a student's learning style, or a system that predicts what a student is likely to struggle with.
Dialogue analysis systems
AI-based assessment tools
Reference Papers:
A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
Personalized assited learning
AI-based grading tools
Artificial Intelligence in Education: A Review
AI technologies for education: Recent research & future directions
Data science in Education
Data Science in Education is about using data to improve teaching and learning. This could involve analyzing test scores to find areas where students are struggling, or using student data to personalize learning experiences.
Reference Papers:
Big Data and data science: A critical review of issues for educational research
Learning analytics
Crucial Cognitive Skills in Science Education: A Systematic Review
Data science for analyzing and improving educational processes
Predictive models in identifying at-risk learners
AI in Business
AI in Business is about using artificial intelligence to make businesses more efficient and informed. It could be a system that predicts sales trends, an AI chatbot for customer service, or a tool that automates routine tasks.
Reference Papers:
Product recommender systems
Targeted marketing
COLLABORATIVE INTELLIGENCE:Humans and AI Are Joining Forces
AI and the Economy
Customer service chat bots
Marketing and Artificial Intelligence
Data Science in business
Data Science in Business is about using data to make better business decisions. This could involve analyzing sales data to understand what customers are buying, or using machine learning to predict future trends and outcomes.
Reference Papers:
Business analytics
Customer segmentation
A review and future direction of agile, business intelligence, analytics and data science
Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management
Stock market forecasting
Sales forecasting
Data Science and its Relationship to Big Data and Data-Driven Decision Making
Data science in banking
Data Science in Banking is about using data to make banks more efficient and secure. It could involve analyzing spending patterns to detect fraud, predicting which customers are likely to default on loans, or personalizing banking services for individual customers.
Reference Papers:
Online Banking Fraud Detection System: A Review
Customer credit risk modeling
Fundamentals of Computer Vision
Recent Advances in Computer Vision
Securty in banking
Security in Banking is about protecting banks and their customers from threats like fraud or cyber attacks. This can involve things like encrypting data, monitoring transactions for suspicious activity, and making sure customers' personal information is safe.
Reference Papers:
Is Artificial Intelligence Ready to Assess an Enterprise’s Financial Security?
fraud detection techniques
Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges
Opportunities and Challenges of Artificial Intelligence in Banking: Systematic Literature Review
AI in banking
AI in Banking involves using artificial intelligence to improve services and operations in banking. AI can help detect fraudulent activity, personalize banking services for customers, automate routine tasks, and provide data-driven insights for decision making.
Reference Papers:
customer service chatbots
Artificial Intelligence: In Banking A Mini-Review
Utilization of artificial intelligence in the banking sector: a systematic literature review
Operational research and artificial intelligence methods in banking
Conclusions
Results
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Implications or applications
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Disease Prediction is about using data and algorithms to predict who might get a certain disease. It's like a weather forecast, but for health. It can help doctors identify at-risk patients and take action to prevent the disease.
Reference Papers:
Artificial Intelligence (AI)-aided Disease Prediction
Artificial intelligence in retinal imaging for cardiovascular disease prediction: current trends and future directions
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
Big Data Analytics is when computers analyze huge amounts of data to uncover patterns, trends, or insights. It helps in making better decisions and predictions based on these findings. Reference Papers:
Big data analytics: a survey
Big Data Analytics: A Literature Review Paper
A survey on platforms for big data analytics
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Information Retrieval is how a computer finds the specific data you're looking for from a large collection. It's like using a search engine to find information on the internet. Decision Support Systems are computer programs that help people make decisions. They use data and models to provide useful information and analysis, helping you choose the best option. Reference Papers:
Beyond information retrieval and electronic health record use: competencies in clinical informatics for medical education
Information retrieval support systems
Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient OutcomesA Systematic Review
Video signals are sequences of digital images captured over time. Each image consists of pixels. Video signals are processed digitally for tasks like compression, noise reduction, and object detection to analyze and manipulate video content. Reference Papers:
A Review on Image and Video processing
Signal processing for Internet video streaming: a review
Face Recognition: A Literature Review
Text Summarization is a process where a computer program reduces a large piece of text into a shorter version, keeping its key information and overall meaning. Reference Papers:
Abstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM
Text Summarization Techniques: A Brief Survey
A survey on Automatic Text Summarization
Dialogue Analysis Systems are tools that use artificial intelligence to understand and analyze conversations. They can identify the topics being discussed, the emotions being expressed, or even the relationships between the people talking.
Reference Papers:
Detection of Misuse and Malicious Behaviours through a Dialogue Analysis System
Automated Forced Temporal Alignment of MULTISIMO Transcripts with Speech Signals
The effects of interprofessional education on teamwork, communication skills and quality of health care in advanced and developing countries: A systematic review and meta-analysis study
Software Architecture & Design is about planning how a software will be built. It's like creating a blueprint for a new building. Reference Papers:
A survey on software architecture analysis methods
Decision-making techniques for software architecture design: A comparative survey
Software architecture review by association
Ensemble Learning is a machine learning paradigm where multiple models (often called "weak learners") are trained to solve the same problem and combined to get better results. It's often used to reduce overfitting. Reference Papers:
Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
Ensemble-learning approach for the classification of Levels Of Geometry (LOG) of building elements
An Ensemble Learning Based Classification Approach for the Prediction of Household Solid Waste Generation
Transfer Learning is a machine learning method where a model developed for a certain task is reused as the starting point for a model on a second task. It's a popular approach in deep learning. Reference Papers:
A survey of transfer learning
Neural transfer learning for natural language processing
Exploring the limits of transfer learning with a unified text-to-text transformer
Software Testing & Verification is about checking if a software works as it should. It finds bugs or problems in the software before people start using it. Reference Papers:
An Empirical Study on Software Testing Practices in Automotive
Software Testing
A case study on Software Testing Methods and Tools
ECG (Electrocardiogram) signals represent the electrical activity of the heart. They are digitized and processed digitally to detect heartbeats, analyze cardiac conditions, and estimate cardiac parameters. Reference Papers:
Diabetes Detection Using ECG Signals: An Overview
A Review on ECG Signal Processing and HRV Analysis
Literature Review on Sleep APNEA Analysis by Machine Learning Algorithms Using ECG Signals
Computer Graphics and Animation is about creating the visuals for a game, from characters to backgrounds. It's like the art and animation you see when playing a game. Reference Papers:
A survey of modeling, rendering and animation of clouds in computer graphics
A Review Survey on the Use Computer Animation in Education
Applications of computer graphics to the visualization of meteorological data
AR and VR in Game Development: AR (Augmented Reality) and VR (Virtual Reality) are technologies that can make games more immersive. AR puts virtual objects in the real world (like in "Pokemon Go"), while VR puts you in a completely virtual world. Reference Papers:
Application of AR and VR in hand rehabilitation: A systematic review
VR Games in Cultural Heritage: A Systematic Review of the Emerging Fields of Virtual Reality and Culture Games
Game based learning with artificial intelligence and immersive technologies: an overview
Named Entity Recognition is a process where a computer identifies important pieces of text - like names of people, places, or companies. It's like highlighting the important parts in a sentence. Reference Papers:
Enhancing Label Consistency on Document-level Named Entity Recognition
Clinical Named Entity Recognition Methods: An Overview
Design Challenges and Misconceptions in Named Entity Recognition
Reinforcement Learning is an area of machine learning concerned with how intelligent agents ought to take actions in an environment to maximize the notion of cumulative reward. Reference Papers:
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances
Introduction to Reinforcement Learning
Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges
Federated Learning is a machine learning approach where a model is trained across multiple decentralized devices or servers holding local data samples, without exchanging them. It's beneficial for privacy preservation and efficient computation. Reference Papers:
Federated learning review: Fundamentals, enabling technologies, and future applications
Decentralized Federated Learning: Fundamentals, State-of-the-art, Frameworks, Trends, and Challenges
Threats to Federated Learning: A Survey
Course Recommender Systems are systems that suggest academic courses to students based on their interests, past courses, or career goals. It's like having a virtual academic advisor that helps you choose which classes to take.
Reference Papers:
The State of the Art in Methodologies of Course Recommender Systems—A Review of Recent Research
A review of deep learning-based recommender system in e-learning environments
E-Learning Course Recommender System Using Collaborative Filtering Models
Time Series Analysis is a way of looking at data that changes over time to spot trends or patterns. It's like watching a movie of your data to see how it changes from moment to moment. Reference Papers:
Wavelets in time-series analysis
A review on the applications of wavelet transform in hydrology time series analysis
Time series analysis of InSAR data: Methods and trends
Early Disease Detection is about using medical tests and technology to find diseases before symptoms appear. It's like a early warning system for health, helping doctors treat diseases sooner and potentially saving lives.
Reference Papers:
Cardiovascular Disease in the Developing World: Prevalences, Patterns, and the Potential of Early Disease Detection
Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Deep Learning is a type of machine learning that uses artificial neural networks to model and understand complex patterns in data. Reference Papers:
Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling
Deep Learning for Natural Language Processing in Radiology—Fundamentals and a Systematic Review
Music Composition with Deep Learning: A Review
User-Centered Design is about designing software with the user in mind. It focuses on making things that are easy and enjoyable for people to use. Reference Papers:
User-Centered Design and Agile Methods: A Systematic Review
A Systematic Review of User-Centered Design Techniques
User-centered design and the development of patient decision aids: protocol for a systematic review
AI-Based Grading Tools are tools that use artificial intelligence to grade assignments or exams. It's like having a smart assistant to help teachers with grading, which can save time and make grading more consistent and fair.
Reference Papers:
CHALLENGES AND APPROACHES RELATED TO AI-DRIVEN GRADING OF OPEN EXAM QUESTIONS IN HIGHER EDUCATION : HUMAN IN THE LOOP
Exploring the potential of artificial intelligence tools in educational measurement and assessment
Proactive and reactive engagement of artificial intelligence methods for education: a review
Speech Recognition is when a computer listens to your voice and understands what you're saying. It's how voice assistants like Siri or Alexa know what you're asking for. Reference Papers:
Speech recognition in adverse conditions: A review
Continuous speech recognition using hidden Markov models
Fundamentals of Speech Recognition
Wearable Technologies are devices you can wear, like smartwatches or fitness trackers. They can track health data, show notifications, or even let you control other devices. Reference Papers:
A review of wearable technology in medicine
Wearable Technology Applications in Healthcare: A Literature Review
Review on Wearable Technology Sensors Used in Consumer Sport Applications
Sentiment Analysis is a way for computers to understand feelings or opinions from text. It can tell if a review is positive, negative, or neutral. Reference Papers:
Fundamentals of Sentiment Analysis and Its Applications
Fundamentals of Sentiment Analysis: Concepts and Methodology
Survey on Sentiment Analysis using Twitter Dataset
Fraud Detection Techniques are ways to spot dishonest or criminal behavior, like someone trying to use a stolen credit card. Techniques can include monitoring for unusual activity, using machine learning to recognize patterns of fraud, and checking for inconsistencies in data.
Reference Papers:
Artificial Intelligence in Banking Industry: A Review on Fraud Detection, Credit Management, and Document Processin
The benefits of using artificial intelligence in payment fraud detection: A case study
Employing Artificial Intelligence To Minimise Internet Fraud
Internet of Things (IoT) is about connecting everyday objects to the internet, from your fridge to your car. These devices can then share data and work together to make things easier for you. Reference Papers:
A Review and State of Art of Internet of Things (IoT)
Internet of Things (IoT): A Literature Review
A review on the different types of internet of things (IoT)
Information Retrieval is a way computers find the information we're looking for. Think of it as the brain behind a search engine. Context Extraction is an aspect of Natural Language Processing that involves extracting meaningful and useful information from text based on the context. Reference Papers:
Content-based multimedia information retrieval: State of the art and challenges
Fundamentals of Content-Based Image Retrieval
COGNITIVE PERSPECTIVES OF INFORMATION RETRIEVAL INTERACTION: ELEMENTS OF A COGNITIVE IR THEORY
Face Detection is when a computer can find and recognize human faces in images or videos. It's how your phone knows where to put a filter when you're taking a selfie. Reference Papers:
Face detection evaluation: a new approach based on the golden ratio
The system of face detection based on OpenCV
Face Detection using LBP features
Database Management: It's about organizing and looking after large amounts of data. It's like a librarian for your digital information, helping you store, retrieve, and manage it effectively. Reference Papers:
A review of web-based product data management systems
A Survey of Large Scale Data Management Approaches in Cloud Environments
Smart Cities: A Survey on Data Management, Security, and Enabling Technologies
Text Generation is when a computer creates new sentences or paragraphs on its own. It can write text that looks like it was written by a human. Reference Papers:
Syntax-guided text generation via graph neural network
Reverse Engineering Configurations of Neural Text Generation Models
Text Generation From Data With Dynamic Planning
Project Management and Planning is about organizing and managing how a software gets built. It's like being a coach for a team, making sure everyone knows their job and when to do it. Reference Papers:
Company-wide project management: the planning and control of programmes of projects of different type
Agent-based simulation for software project planning
An Integrated Multi-Agent-Based Simulation Approach to Support Software Project Management
Targeted Marketing is when businesses use data about their customers to create marketing that's tailored to specific groups. It's like getting a personalized recommendation from a shop, but it's done using data about what you like and how you behave.
Reference Papers:
Artificial intelligence (AI) applications for marketing: A literature-based study
Artificial intelligence (AI) in strategic marketing decision-making: a research agenda
Toward advancing theory on creativity in marketing and artificial intelligence
Web Service Engineering & Microservices is about building parts of a website that can work separately but together. It makes it easier to update or fix one part of a website without disturbing the others. Reference Papers:
Microservices: The Evolution and Extinction of Web Services?
A Systematic Literature Review on Microservices
Microservices: Yesterday, Today, and Tomorrow
An algorithm is a sequence of computational steps that transform the input into the output. A data structure is a specialized format for organizing, processing, retrieving and storing data. Reference Papers:
Hierarchical data structures and algorithms for computer graphics. I. Fundamentals
Data structures and algorithms in a two-level memory
ON THE COMPUTATIONALCOMPLEXITY OF ALGORITHMS
Industrial Robotics is about using robots in factories and warehouses. These robots can do tasks like lifting heavy things or assembling parts, making work easier and safer for people. Reference Papers:
Industrial Robotics Review
Advanced Applications of Industrial Robotics: New Trends and Possibilities
Modern Industrial Robotics Industry
Intelligent User Interfaces (AI in UI): This is when a user interface (like a website or app) uses artificial intelligence to improve the user's experience. It might adapt to the user's needs, learn from their actions, or provide helpful suggestions. Reference Papers:
Intelligent User Interfaces and Their Evaluation: A Systematic Mapping Study
A systematic literature review on intelligent user interfaces: preliminary results
What is "intelligent" in intelligent user interfaces?: a meta-analysis of 25 years of IUI
Cloud-based Game Development is about creating games that are stored on the internet instead of on your device. It allows you to play the same game on different devices and keeps your progress saved online. Reference Papers:
A Game Theory Based Automated SLA Negotiation Model for Confined Federated Clouds
A Security Reputation Model for IoT Health Data Using S-AlexNet and Dynamic Game Theory in Cloud Computing Environment
Cloud-Based Design and Manufacturing (CBDM)A Service-Oriented Product Development Paradigm for the 21st Century
Video Game Design is about planning and creating everything that goes into a game, from the story to the controls. It's like being the director of a movie, but for a game. Reference Papers:
Presence in video games: A systematic review and meta-analysis of the effects of game design choices
The use and effect of video game design theory in the creation of game-based systems for upper limb stroke rehabilitation
Heuristic evaluation for games: usability principles for video game design
Software Development is about writing the code to create a software. It's the actual building process after all the planning and designing. Reference Papers:
Agile Software Development Methods: Review and Analysis
Empirical studies of agile software development: A systematic review
A review of studies on expert estimation of software development effort
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Predictive Models in Identifying At-Risk Learners are systems that use data to predict which students might struggle with their studies. They might look at things like attendance, grades, or engagement to find students who might need extra support.
Reference Papers:
Identifying at-risk students in online learning by analysing learning behaviour: A systematic review
Improving Predictive Modeling for At-Risk Student Identification: A Multistage Approach
Review on Predictive Modelling Techniques for Identifying Students at Risk in University Environment
Product Recommender Systems are tools that suggest products to customers based on their past behavior or preferences. It helps businesses personalize their offerings and customers find products they might like.
Reference Papers:
Recommender System Based on Consumer Product Reviews
A systematic review and research perspective on recommender systems
A review on recommender systems
Intelligent Tutoring Systems are computer programs that provide personalized instruction to students. They use artificial intelligence to adapt to a student's learning style and pace, and can provide feedback and suggestions just like a human tutor would.
Reference Papers:
Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review
Intelligent tutoring systems: an overview
Intelligent tutoring systems.
Requirement Engineering is about figuring out what a new software should do. It's like making a list of features a new app needs to have. Reference Papers:
Requirement Engineering Challenges in Agile Software Development
A Review of Requirement Engineering Issues and Challenges in Various Software Development Methods
Impact and Challenges of Requirement Engineering in Agile Methodologies: A Systematic Review
Question Answering (Chatbots and Conversational Agents) is about making computers chat like humans. They can understand your questions and give you answers, just like talking to a friend. Reference Papers:
Review of artificial intelligence-based question-answering systems in healthcare
Conversational agents for learning foreign languages -- a survey
A Survey of Design Techniques for Conversational Agents
UI (User Interface) design is about creating the parts of a software or website that people interact with. It's about making sure buttons, menus, and other elements are easy to understand and use. Usability Testing is when people test a software or website to see if it's easy to use. Reference Papers:
Usability testing of an academic library Web site: a case study
Usability testing: a review of some methodological and technical aspects of the method
A review of user-interface design guidelines for public information kiosk systems
Medical Chatbot Assistants are like customer service chatbots, but for health. They can answer patients' questions about their health, remind them to take medication, or even help them understand doctor's instructions.
Reference Papers:
Medical Chatbot Techniques: A Review
A Review of AI Based Medical Assistant Chatbot
Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review
Customer Service Chatbots are programs that can talk to customers and answer their questions. They use artificial intelligence to understand what the customer is saying and respond in a helpful way. It's like having a virtual assistant for customer support.
Reference Papers:
Prognosticating anthropomorphic chatbots' usage intention as an e-banking customer service gateway: cogitations from Zimbabwe
ANALYSIS OF E-SERVICE CHATBOT AND SATISFACTION OF BANKING CUSTOMERS IN INDONESIA
BANKING ON ARTIFICIAL INTELLIGENCE: OPPORTUNITIES & CHALLENGES FOR BANKS IN INDIA
Sales Forecasting is a technique that uses historical sales data to predict future sales trends. It's like looking at past patterns to guess what might happen next. This helps businesses plan for the future and make informed decisions.
Reference Papers:
Trends in Machine Learning Applied to Demand & Sales Forecasting: A Review
Machine-learning Sales Forecasting: A Review
Sales Forecasting for Fashion Retailing Service Industry: A Review
EEG (Electroencephalogram) signals are electrical brain wave recordings. They are converted into a digital format and processed using digital signal processing techniques to analyze brain activity. Reference Papers:
EEG spectral analysis in insomnia disorder: A systematic review and meta-analysis
The neural correlates of psychosocial stress: A systematic review and meta-analysis of spectral analysis EEG studies
EEG based interpretation of human brain activity during yoga and meditation using machine learning: A systematic review
Machine Learning in Disease Diagnosis is about using machine learning (a type of artificial intelligence) to help doctors diagnose diseases. It's like having a smart assistant that can analyze medical images or data to find signs of disease that a human might miss.
Reference Papers:
Deep Learning and Medical Diagnosis: A Review of Literature
Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
Applications of Machine Learning Predictive Models in the Chronic Disease Diagnosis
Network Security is about protecting computer networks from attacks or mistakes. It keeps all the information flowing through the network safe from hackers or viruses. Reference Papers:
A Survey of Visualization Systems for Network Security
A Survey on Network Security Monitoring Systems
Sensor network security: a survey
AI (Artificial Intelligence) in game design is about creating intelligent behaviors and actions in games. It helps create characters or situations that can adapt, learn, and respond to the player's actions, making the game more dynamic and engaging Reference Papers:
Game Design as an Autonomous Research Subject
Game Design Tools : Can They Improve Game Design Practice?
Computational Caricatures: Probing the Game Design Process with AIAuthors
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Customer Service Chatbots are programs that can talk to customers and answer their questions. They use artificial intelligence to understand what the customer is saying and respond in a helpful way. It's like having a virtual assistant for customer support.
Reference Papers:
Review of Chatbots Design Techniques
The Use of Chatbots in Digital Business Transformation: A Systematic Literature Review
The Impact of Chatbots on Customer Loyalty: A Systematic Literature Review
Unsupervised Learning is a type of machine learning where the model learns from unlabeled data. The system tries to find patterns and make sense of the data without any prior training, much like a child learning from his/her environment without explicit instructions. Reference Papers:
Unsupervised Learning
Painless Unsupervised Learning with Features
Unsupervised learning using MML
Machine Translation is when a computer translates text or speech from one language to another. It's like having an instant translator for any language you need. Reference Papers:
The use of machine translation algorithm based on residual and LSTM neural network in translation teaching
Neural machine translation: A review of methods, resources, and tools
Fundamental and New Approaches to Statistical Machine Translation
Customer Segmentation is about dividing a company's customers into groups that share similar characteristics. This can help businesses tailor their products, marketing, and services to meet the specific needs of each group.
Reference Papers:
Customer segmentation using machine learning: A literature review
Soft computing applications in customer segmentation: State-of-art review and critique
A Review of Customer Segmentation Methods: The Case of Investment Sector
In game development, simulation is about creating games that mimic real-world situations or processes. It's like creating a virtual version of flying a plane or running a city. Reference Papers:
Decision-Making and Biases in Cybersecurity Capability Development: Evidence from a Simulation Game Experiment
Rapid Development of a COVID-19 Assessment and PPE Virtual Simulation Game
TACTICAL COMBAT CASUALTY CARE: STRATEGIC ISSUES OF A SERIOUS SIMULATION GAME DEVELOPMENT
Stock Market Forecasting involves using data and algorithms to predict future trends in the stock market. It's like trying to guess what's going to happen next in a movie, but with stocks. This helps investors make decisions about buying or selling.
Reference Papers:
Machine learning techniques and data for stock market forecasting: A literature review
Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review
Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda
Business Analytics is about using data to understand how a business is doing and make decisions. It involves collecting data about sales, customer behavior, and more, then analyzing it to spot trends, make predictions, and guide strategy.
Reference Papers:
A systematic review on business analytics PDF Logo
Business analytics in Industry 4.0: A systematic review
Defining business analytics: an empirical approach
Predictive Models are tools that use past data to predict future outcomes. It's like a crystal ball that uses math instead of magic to predict the future. Reference Papers:
Predictive models in the brain
Widespread access to predictive models in the motor system: a short review
A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care
Software Maintenance is about keeping a software up-to-date and fixing any problems after it's been launched. It's like a car mechanic who fixes problems and keeps the car running smoothly. Reference Papers:
Software Maintenance and Evolution: The Implication for Software Development
A Review on Software Maintenance Issues and How to Reduce Maintenance Efforts
Software Product Maintenance: A Case Study
Handwriting Recognition is when a computer can understand and convert handwritten text into digital text. It's how a computer reads handwriting. Reference Papers:
Handwriting recognition: State of the art and future trends
Digital Transforms in Handwriting Recognition
Directional features in online handwriting recognition
Blockchain Technology is a type of digital technology that records and verifies transactions in a decentralized and secure way. It's like a public, unchangeable record book that anyone can check, but no one can tamper with. Reference Papers:
Emergence of Blockchain Technology: Fundamentals, Working and its Various Implementations
Blockchain Technology Overview
Where Is Current Research on Blockchain Technology?—A Systematic Review
Recommender Systems
Recommender Systems are the programs that help predict what users might like, based on data about user preferences or behaviors. Think of it like a friend who knows your tastes and suggests things you might like. Reference Papers:
Hybrid Recommender Systems: Survey and Experiments
AutoML for Deep Recommender Systems: Fundamentals and Advances
Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances
Biomedical Robotics is when robots are used in medicine and health care. They can help doctors perform surgeries or assist patients with mobility. Reference Papers:
Biomedical applications of soft robotics
Soft medical robotics: clinical and biomedical applications, challenges, and future directions
Biomedical soft robots: current status and perspective
Robot Navigation and Control is about making robots move around and do tasks correctly. It's like teaching a robot how to walk and grab things without bumping into stuff. Reference Papers:
A non-potential orthogonal vector field method for more efficient robot navigation and control
A Review of Visual Perception for Mobile Robot Navigation: Methods, Limitation, and Applications
Developing an integrated software environment for mobile robot navigation and control
AI-based Assessment Tools are tools that use artificial intelligence to evaluate or grade something. In education, for example, they might grade essays or quizzes. In business, they could assess employee performance.
Reference Papers:
Development of a Method for Clinical Evaluation of Artificial Intelligence–Based Digital Wound Assessment Tools
An AI-Based System for Formative and Summative Assessment in Data Science Courses
Using Peerceptiv to support AI-based online writing assessment across the disciplines
Cryptography is a way of protecting information by turning it into a secret code. It keeps data safe so only the people who should see it can understand it. Reference Papers:
A Review Paper on Cryptography
A Survey on Cryptography Algorithms
An Overview of Cryptography
Learning Analytics involves using data about students and their learning to improve education. It can involve analyzing things like grades, study habits, and online activity to understand how students learn and how to help them succeed.
Reference Papers:
Learning Analytics in Higher Education—A Literature Review
An overview of learning analytics
Learning analytics in higher education --- challenges and policies: a review of eight learning analytics policies
Medical Decision Support Systems are tools that help doctors make medical decisions. They use data and algorithms to provide advice or suggestions. It's like having a trusted advisor that uses medical knowledge and patient data to help doctors decide on the best treatment.
Reference Papers:
Effect of Clinical Decision-Support Systems
An overview of clinical decision support systems: benefits, risks, and strategies for success
Evaluating informatics applications—clinical decision support systems literature review
Personalized Assisted Learning is an approach to education that uses technology to adapt learning to each student's needs. It's like having a personal tutor for every student, helping them learn in the way that suits them best.
Reference Papers:
Computer: A fourth generation distance education system: Integrating computer‐assisted learning and computer conferencing
Generic Digital Equity Model in Education: Mobile-Assisted Personalized Learning (MAPL) through e-Modules
A Systematic Review of Personalized Learning: Comparison between E-Learning and Learning by Coursework Program in Oman
Data Mining is a process where a computer sifts through lots of data to find useful patterns or trends. It's like digging for hidden treasures in a mountain of information. Information Retrieval is how a computer finds the specific data you're looking for from a large collection. It's like using a search engine to find information on the internet. Reference Papers:
Data Mining and Information Retrieval in the 21st century: A bibliographic review
Textual Data Mining to Support Science and Technology Management
Issues In Data Mining And Information Retrieval
NLP in Clinical Documentation involves using Natural Language Processing (a field of AI) to understand and manage medical documents. It's like having a smart system that can read doctors' notes, understand the medical terms, and organize the information efficiently.
Reference Papers:
Natural language processing to extract medical problems from electronic clinical documents: Performance evaluation
Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm
Using Natural Language Processing on the Free Text of Clinical Documents to Screen for Evidence of Homelessness Among US Veterans
Data Modeling is like creating a map for your data. It shows how different pieces of information are connected and can be used to organize and understand your data better. Data Visualization is about turning numbers and data into easy-to-understand pictures or graphs. It makes complex data more understandable and helps you see patterns or trends. Reference Papers:
Enhancing the T-shaped learning profile when teaching hydrology using data, modeling, and visualization activities
Data Modeling and Visualization of Tax Strategies Employed by Overseas American Individuals and Firms
ugtm: A Python Package for Data Modeling and Visualization Using Generative Topographic Mapping
Health Monitoring Wearable Devices are devices like smartwatches or fitness bands that you wear on your body. They can track things like your heart rate, sleep patterns, or how much you move, giving you useful information about your health.
Reference Papers:
Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices
Wearable Devices for Physical Activity and Healthcare Monitoring in Elderly People: A Critical Review
Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey
Network Security is about protecting computer networks from attacks or mistakes. It keeps all the information flowing through the network safe from hackers or viruses. Reference Papers:
A Survey of Visualization Systems for Network Security
A Survey on Network Security Monitoring Systems
Sensor network security: a survey
Customer Credit Risk Modeling is a way banks predict the likelihood of a customer not repaying their loans. It uses data like a customer's income, credit history, and loan amount to determine the risk of lending money to them.
Reference Papers:
Machine learning-driven credit risk: a systemic review
Credit Risk Assessment of Banks' Loan Enterprise Customer Based on State-Constraint
Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment
Cloud Computing is about using the internet to store, manage, and process data instead of using your personal computer. It's like storing your files online so you can access them from anywhere. Reference Papers:
Cloud computing review: concepts, technology, challenges and security
A systematic review on cloud computing
A Review Paper on Cloud Computing
Human-Robot Interaction is about how people and robots communicate and work together. It focuses on making robots that can understand and respond to humans in a helpful and friendly way. Reference Papers:
Human–robot interaction review and challenges on task planning and programming
Human-Robot Interaction Review: Challenges and Solutions for Modern Industrial Environments
Human–Robot Interaction: Status and Challenges
Interaction Design is about designing how users interact with a software or website. It's making sure that when you click a button or swipe a screen, the software responds in a way that makes sense. Reference Papers:
Interaction design and service design: Expanding a comparison of design disciplines
Socio-technical systems and interaction design – 21st century relevance
Research through design as a method for interaction design research in HCI
Pattern Recognition is a process where a computer learns to identify repeated or common patterns in data. It's like a computer spotting a repeating theme in a series of photos or text. Reference Papers:
A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies
Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends
Supervised pattern recognition in food analysis
UX (User Experience) in Game Design is about making games easy and fun to play. It focuses on how the game feels to the player and how easy it is to understand and control. Reference Papers:
User Experience of Educational Games: A Review of the Elements
User experience on games development trends
User Experience in Digital Games: Differences Between Laboratory and Home
Audio signals are digital representations of sound waves. They undergo digital processing techniques like filtering, equalization, and compression to enhance audio quality, extract information, and perform tasks such as speech recognition and music synthesis. Reference Papers:
Sentiment analysis: A literature review
Sentiment Analysis Using Deep Learning Techniques: A Review
A Review on Home Automation Using Voice Recognition
Text Classification is a machine learning technique that assigns predefined categories to text. It's used in various applications such as filtering spam emails, sentiment analysis, and tagging customer queries. Reference Papers:
A novel probabilistic feature selection method for text classification
A Survey of Text Classification Algorithms
Hierarchical Multilabel Text Classification via Multitask Learning
Image Recognition is when a computer can identify objects, people, or actions in images. It's how a computer knows what's in a picture. Reference Papers:
Multi-Label Image Recognition with Joint Class-Aware Map Disentangling and Label Correlation Embedding
Algebraic feature extraction of image for recognition
Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching
Supervised Learning is a type of machine learning where the model is trained on labeled data. That means the model learns from data that is already tagged with the correct answer, much like a student learning under the supervision of a teacher. Reference Papers:
Supervised Machine Learning: Algorithms and Applications
Supervised Machine Learning for Population Genetics: A New Paradigm
Supervised Learning of Probability Distributions by Neural Networks
Bio-Inspired Robotics is about designing robots that mimic animals, insects, or humans. By copying nature, we can create robots that move, behave, or solve problems in new and innovative ways. Reference Papers:
Self-Organization, Embodiment, and Biologically Inspired Robotics
Biomimetic and bio-inspired robotics in electric fish research
THE NEUROSCIENCE OF VISION-BASED GRASPING: A FUNCTIONAL REVIEW FOR COMPUTATIONAL MODELING AND BIO-INSPIRED ROBOTICS
Undergraduate Research Topics
Sreekanth Gopi
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Transcript
Research Project Topics
A selection of interested research topics in Computer Science
Research Topics
Core research areas
Fundamental topics
This presentation is a systematic guide designed to help you, as a freshman, navigate through a selection of interested research topics in Computer Science. Our aim is to expose you to diverse research areas, and help you make informed decisions about your academic and research paths.
Link
Domain Specific - combined Research Areas
Inter-disciplinary topics
KSU UG Research
Link
Core Computing Research Topics
Software Engineering
Human computer Interaction
Artificial intelligence
Algorithms and data structures
Data Science
Computer Networks and Communication systems
Digital Signal Processing
Game Design and development
Robotics
Information systems
Cyber Security
Block chain technologies
Domain Specific - combined Research Areas
Healthcare
Education
Business
Financial Sector
Artificial intelligence
Natural Language Processing
Machine learning
Computer vision
Recommender Systems
Artificial Intelligence > Machine Learning
Machine Learning(ML) is a branch of artificial intelligence focused on building and developing models that allow computers to learn from and make decisions or predictions based on data. Reference Papers:
Machine learning: Trends, perspectives, and prospects
Machine Learning for All – Introducing Machine Learning in K-12
AN OVERVIEW OF MACHINE LEARNING
unsupervised learning
Advanced learning techniques
Supervised learning
Advanced learning techniques
Machng lering
Transfer learning
Deep learning
Federated learning
Ensemble learning
Reinforcement learning
Natural Language Processing
Natural Language Processing is how computers understand human language. It's used to help computers read, interpret, understand, and make sense of the human languages in a valuable way.
Reference Papers:
Natural Language Processing
Natural language processing: an introduction
Question answering (Chatbots and conversational agents )
Text classification
Advances in natural language processing
Named entitity recognition
Text generation
Information reteival & context extraction
Machng lering
Speech recognition
Sentiment analysis
Machine Translation
Text summarization
Computer vision
Computer Vision is how computers learn to 'see'. It helps computers identify and process objects in images and videos, like how our human eyes do.
Reference Papers:
Handwriting recognition
Image recognition
Color in Computer Vision: Fundamentals and Applications
Fundamentals of Computer Vision
Recent Advances in Computer Vision
Face detection
Pattern recognition
Data Science
Data mining & information retrieval
Machng lering
Big Data analytics
Data modeling and visualization
Predictive models
Time series analysis
Robotics
Robot navigation and control
Machng lering
Human-robot interaction
Biomedical robotics
Industrial robotics
Bio-inspired robotics
Cyber Security
Cryptography
Network security
Software Engineering
Software testing & verification
Requirement Engineering
Machng lering
Web service engineering & Microservices
Software developemnt
Project management and planning
Software Architecture & Design
Software maintenance
Game Design and development
Simulation
Machng lering
UX (User experienece) in game design
AR and VR in game development
Computer graphics and animation
Cloud-based game development
AI in game design
Video game design
Human computer Interaction
UI design and usability testing
Machng lering
Interaction design
User centered design
Wearable technologies
Intelligent user interfaces (AI in UI)
Computer Networks and Communication systems
Internet of things (IoT)
Network security
Cloud computing
Digital Signal Processing
Audio
EEG
Video
ECG
Information systems
Database management
Information retreival and decision support systems
Healthcare
AI in Healthcare
Data science in Healthcare
UI and Computer networs in healthcare
Education
AI in Education
Data science in Education
Business
Data Science in business
AI in Business
Financial Sector
Securty in banking
Data science in banking
AI in banking
AI in Healthcare
AI in Healthcare is about using artificial intelligence to help doctors diagnose diseases, suggest treatments, or predict patient outcomes. It's like having a smart assistant to help doctors make the best decisions.
Reference Papers:
NLP in Clinical Documentation
Ml in desease diagnosis
Artificial intelligence in healthcare
Artificial Intelligence in Healthcare: Review and Prediction Case Studies
AI in healthcare: A narrative review
Medical chatbot assitants
Medical decision support systems
Data science in Healthcare
Data Science in Healthcare is about using data to understand and improve health. It can help find patterns in patient data, predict disease outbreaks, or improve treatments.
Reference Papers:
Early disease detection
Deep learning for healthcare: review, opportunities and challenges
Clinical decision support systems in orthodontics: A narrative review of data science approaches
Learning health systems using data to drive healthcare improvement and impact: a systematic review
Disease prediction
UI and Computer networs in healthcare
UI and Computer Networks in Healthcare is about making medical software easy to use and ensuring that medical data can be shared safely and quickly. It helps doctors, nurses, and patients access and understand health information.
Reference Papers:
User experiences of virtual reality technologies for healthcare in learning: an integrative review
Health monitoring wearable devices
Classification of Healthcare Service Reviews with Sentiment Analysis to Refine User Satisfaction
Performance issues in wireless body area networks for the healthcare application: a survey and future prospects
AI in Education
Course recommender systems
Intelligent tutoring systems
AI in Education is about using artificial intelligence to make learning more personalized and efficient. It could be a smart tutor that adapts to a student's learning style, or a system that predicts what a student is likely to struggle with.
Dialogue analysis systems
AI-based assessment tools
Reference Papers:
A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
Personalized assited learning
AI-based grading tools
Artificial Intelligence in Education: A Review
AI technologies for education: Recent research & future directions
Data science in Education
Data Science in Education is about using data to improve teaching and learning. This could involve analyzing test scores to find areas where students are struggling, or using student data to personalize learning experiences.
Reference Papers:
Big Data and data science: A critical review of issues for educational research
Learning analytics
Crucial Cognitive Skills in Science Education: A Systematic Review
Data science for analyzing and improving educational processes
Predictive models in identifying at-risk learners
AI in Business
AI in Business is about using artificial intelligence to make businesses more efficient and informed. It could be a system that predicts sales trends, an AI chatbot for customer service, or a tool that automates routine tasks.
Reference Papers:
Product recommender systems
Targeted marketing
COLLABORATIVE INTELLIGENCE:Humans and AI Are Joining Forces
AI and the Economy
Customer service chat bots
Marketing and Artificial Intelligence
Data Science in business
Data Science in Business is about using data to make better business decisions. This could involve analyzing sales data to understand what customers are buying, or using machine learning to predict future trends and outcomes.
Reference Papers:
Business analytics
Customer segmentation
A review and future direction of agile, business intelligence, analytics and data science
Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management
Stock market forecasting
Sales forecasting
Data Science and its Relationship to Big Data and Data-Driven Decision Making
Data science in banking
Data Science in Banking is about using data to make banks more efficient and secure. It could involve analyzing spending patterns to detect fraud, predicting which customers are likely to default on loans, or personalizing banking services for individual customers.
Reference Papers:
Online Banking Fraud Detection System: A Review
Customer credit risk modeling
Fundamentals of Computer Vision
Recent Advances in Computer Vision
Securty in banking
Security in Banking is about protecting banks and their customers from threats like fraud or cyber attacks. This can involve things like encrypting data, monitoring transactions for suspicious activity, and making sure customers' personal information is safe.
Reference Papers:
Is Artificial Intelligence Ready to Assess an Enterprise’s Financial Security?
fraud detection techniques
Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges
Opportunities and Challenges of Artificial Intelligence in Banking: Systematic Literature Review
AI in banking
AI in Banking involves using artificial intelligence to improve services and operations in banking. AI can help detect fraudulent activity, personalize banking services for customers, automate routine tasks, and provide data-driven insights for decision making.
Reference Papers:
customer service chatbots
Artificial Intelligence: In Banking A Mini-Review
Utilization of artificial intelligence in the banking sector: a systematic literature review
Operational research and artificial intelligence methods in banking
Conclusions
Results
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Disease Prediction is about using data and algorithms to predict who might get a certain disease. It's like a weather forecast, but for health. It can help doctors identify at-risk patients and take action to prevent the disease.
Reference Papers:
Artificial Intelligence (AI)-aided Disease Prediction
Artificial intelligence in retinal imaging for cardiovascular disease prediction: current trends and future directions
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
Big Data Analytics is when computers analyze huge amounts of data to uncover patterns, trends, or insights. It helps in making better decisions and predictions based on these findings. Reference Papers:
Big data analytics: a survey
Big Data Analytics: A Literature Review Paper
A survey on platforms for big data analytics
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Information Retrieval is how a computer finds the specific data you're looking for from a large collection. It's like using a search engine to find information on the internet. Decision Support Systems are computer programs that help people make decisions. They use data and models to provide useful information and analysis, helping you choose the best option. Reference Papers:
Beyond information retrieval and electronic health record use: competencies in clinical informatics for medical education
Information retrieval support systems
Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient OutcomesA Systematic Review
Video signals are sequences of digital images captured over time. Each image consists of pixels. Video signals are processed digitally for tasks like compression, noise reduction, and object detection to analyze and manipulate video content. Reference Papers:
A Review on Image and Video processing
Signal processing for Internet video streaming: a review
Face Recognition: A Literature Review
Text Summarization is a process where a computer program reduces a large piece of text into a shorter version, keeping its key information and overall meaning. Reference Papers:
Abstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM
Text Summarization Techniques: A Brief Survey
A survey on Automatic Text Summarization
Dialogue Analysis Systems are tools that use artificial intelligence to understand and analyze conversations. They can identify the topics being discussed, the emotions being expressed, or even the relationships between the people talking.
Reference Papers:
Detection of Misuse and Malicious Behaviours through a Dialogue Analysis System
Automated Forced Temporal Alignment of MULTISIMO Transcripts with Speech Signals
The effects of interprofessional education on teamwork, communication skills and quality of health care in advanced and developing countries: A systematic review and meta-analysis study
Software Architecture & Design is about planning how a software will be built. It's like creating a blueprint for a new building. Reference Papers:
A survey on software architecture analysis methods
Decision-making techniques for software architecture design: A comparative survey
Software architecture review by association
Ensemble Learning is a machine learning paradigm where multiple models (often called "weak learners") are trained to solve the same problem and combined to get better results. It's often used to reduce overfitting. Reference Papers:
Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
Ensemble-learning approach for the classification of Levels Of Geometry (LOG) of building elements
An Ensemble Learning Based Classification Approach for the Prediction of Household Solid Waste Generation
Transfer Learning is a machine learning method where a model developed for a certain task is reused as the starting point for a model on a second task. It's a popular approach in deep learning. Reference Papers:
A survey of transfer learning
Neural transfer learning for natural language processing
Exploring the limits of transfer learning with a unified text-to-text transformer
Software Testing & Verification is about checking if a software works as it should. It finds bugs or problems in the software before people start using it. Reference Papers:
An Empirical Study on Software Testing Practices in Automotive
Software Testing
A case study on Software Testing Methods and Tools
ECG (Electrocardiogram) signals represent the electrical activity of the heart. They are digitized and processed digitally to detect heartbeats, analyze cardiac conditions, and estimate cardiac parameters. Reference Papers:
Diabetes Detection Using ECG Signals: An Overview
A Review on ECG Signal Processing and HRV Analysis
Literature Review on Sleep APNEA Analysis by Machine Learning Algorithms Using ECG Signals
Computer Graphics and Animation is about creating the visuals for a game, from characters to backgrounds. It's like the art and animation you see when playing a game. Reference Papers:
A survey of modeling, rendering and animation of clouds in computer graphics
A Review Survey on the Use Computer Animation in Education
Applications of computer graphics to the visualization of meteorological data
AR and VR in Game Development: AR (Augmented Reality) and VR (Virtual Reality) are technologies that can make games more immersive. AR puts virtual objects in the real world (like in "Pokemon Go"), while VR puts you in a completely virtual world. Reference Papers:
Application of AR and VR in hand rehabilitation: A systematic review
VR Games in Cultural Heritage: A Systematic Review of the Emerging Fields of Virtual Reality and Culture Games
Game based learning with artificial intelligence and immersive technologies: an overview
Named Entity Recognition is a process where a computer identifies important pieces of text - like names of people, places, or companies. It's like highlighting the important parts in a sentence. Reference Papers:
Enhancing Label Consistency on Document-level Named Entity Recognition
Clinical Named Entity Recognition Methods: An Overview
Design Challenges and Misconceptions in Named Entity Recognition
Reinforcement Learning is an area of machine learning concerned with how intelligent agents ought to take actions in an environment to maximize the notion of cumulative reward. Reference Papers:
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances
Introduction to Reinforcement Learning
Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges
Federated Learning is a machine learning approach where a model is trained across multiple decentralized devices or servers holding local data samples, without exchanging them. It's beneficial for privacy preservation and efficient computation. Reference Papers:
Federated learning review: Fundamentals, enabling technologies, and future applications
Decentralized Federated Learning: Fundamentals, State-of-the-art, Frameworks, Trends, and Challenges
Threats to Federated Learning: A Survey
Course Recommender Systems are systems that suggest academic courses to students based on their interests, past courses, or career goals. It's like having a virtual academic advisor that helps you choose which classes to take.
Reference Papers:
The State of the Art in Methodologies of Course Recommender Systems—A Review of Recent Research
A review of deep learning-based recommender system in e-learning environments
E-Learning Course Recommender System Using Collaborative Filtering Models
Time Series Analysis is a way of looking at data that changes over time to spot trends or patterns. It's like watching a movie of your data to see how it changes from moment to moment. Reference Papers:
Wavelets in time-series analysis
A review on the applications of wavelet transform in hydrology time series analysis
Time series analysis of InSAR data: Methods and trends
Early Disease Detection is about using medical tests and technology to find diseases before symptoms appear. It's like a early warning system for health, helping doctors treat diseases sooner and potentially saving lives.
Reference Papers:
Cardiovascular Disease in the Developing World: Prevalences, Patterns, and the Potential of Early Disease Detection
Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Deep Learning is a type of machine learning that uses artificial neural networks to model and understand complex patterns in data. Reference Papers:
Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling
Deep Learning for Natural Language Processing in Radiology—Fundamentals and a Systematic Review
Music Composition with Deep Learning: A Review
User-Centered Design is about designing software with the user in mind. It focuses on making things that are easy and enjoyable for people to use. Reference Papers:
User-Centered Design and Agile Methods: A Systematic Review
A Systematic Review of User-Centered Design Techniques
User-centered design and the development of patient decision aids: protocol for a systematic review
AI-Based Grading Tools are tools that use artificial intelligence to grade assignments or exams. It's like having a smart assistant to help teachers with grading, which can save time and make grading more consistent and fair.
Reference Papers:
CHALLENGES AND APPROACHES RELATED TO AI-DRIVEN GRADING OF OPEN EXAM QUESTIONS IN HIGHER EDUCATION : HUMAN IN THE LOOP
Exploring the potential of artificial intelligence tools in educational measurement and assessment
Proactive and reactive engagement of artificial intelligence methods for education: a review
Speech Recognition is when a computer listens to your voice and understands what you're saying. It's how voice assistants like Siri or Alexa know what you're asking for. Reference Papers:
Speech recognition in adverse conditions: A review
Continuous speech recognition using hidden Markov models
Fundamentals of Speech Recognition
Wearable Technologies are devices you can wear, like smartwatches or fitness trackers. They can track health data, show notifications, or even let you control other devices. Reference Papers:
A review of wearable technology in medicine
Wearable Technology Applications in Healthcare: A Literature Review
Review on Wearable Technology Sensors Used in Consumer Sport Applications
Sentiment Analysis is a way for computers to understand feelings or opinions from text. It can tell if a review is positive, negative, or neutral. Reference Papers:
Fundamentals of Sentiment Analysis and Its Applications
Fundamentals of Sentiment Analysis: Concepts and Methodology
Survey on Sentiment Analysis using Twitter Dataset
Fraud Detection Techniques are ways to spot dishonest or criminal behavior, like someone trying to use a stolen credit card. Techniques can include monitoring for unusual activity, using machine learning to recognize patterns of fraud, and checking for inconsistencies in data.
Reference Papers:
Artificial Intelligence in Banking Industry: A Review on Fraud Detection, Credit Management, and Document Processin
The benefits of using artificial intelligence in payment fraud detection: A case study
Employing Artificial Intelligence To Minimise Internet Fraud
Internet of Things (IoT) is about connecting everyday objects to the internet, from your fridge to your car. These devices can then share data and work together to make things easier for you. Reference Papers:
A Review and State of Art of Internet of Things (IoT)
Internet of Things (IoT): A Literature Review
A review on the different types of internet of things (IoT)
Information Retrieval is a way computers find the information we're looking for. Think of it as the brain behind a search engine. Context Extraction is an aspect of Natural Language Processing that involves extracting meaningful and useful information from text based on the context. Reference Papers:
Content-based multimedia information retrieval: State of the art and challenges
Fundamentals of Content-Based Image Retrieval
COGNITIVE PERSPECTIVES OF INFORMATION RETRIEVAL INTERACTION: ELEMENTS OF A COGNITIVE IR THEORY
Face Detection is when a computer can find and recognize human faces in images or videos. It's how your phone knows where to put a filter when you're taking a selfie. Reference Papers:
Face detection evaluation: a new approach based on the golden ratio
The system of face detection based on OpenCV
Face Detection using LBP features
Database Management: It's about organizing and looking after large amounts of data. It's like a librarian for your digital information, helping you store, retrieve, and manage it effectively. Reference Papers:
A review of web-based product data management systems
A Survey of Large Scale Data Management Approaches in Cloud Environments
Smart Cities: A Survey on Data Management, Security, and Enabling Technologies
Text Generation is when a computer creates new sentences or paragraphs on its own. It can write text that looks like it was written by a human. Reference Papers:
Syntax-guided text generation via graph neural network
Reverse Engineering Configurations of Neural Text Generation Models
Text Generation From Data With Dynamic Planning
Project Management and Planning is about organizing and managing how a software gets built. It's like being a coach for a team, making sure everyone knows their job and when to do it. Reference Papers:
Company-wide project management: the planning and control of programmes of projects of different type
Agent-based simulation for software project planning
An Integrated Multi-Agent-Based Simulation Approach to Support Software Project Management
Targeted Marketing is when businesses use data about their customers to create marketing that's tailored to specific groups. It's like getting a personalized recommendation from a shop, but it's done using data about what you like and how you behave.
Reference Papers:
Artificial intelligence (AI) applications for marketing: A literature-based study
Artificial intelligence (AI) in strategic marketing decision-making: a research agenda
Toward advancing theory on creativity in marketing and artificial intelligence
Web Service Engineering & Microservices is about building parts of a website that can work separately but together. It makes it easier to update or fix one part of a website without disturbing the others. Reference Papers:
Microservices: The Evolution and Extinction of Web Services?
A Systematic Literature Review on Microservices
Microservices: Yesterday, Today, and Tomorrow
An algorithm is a sequence of computational steps that transform the input into the output. A data structure is a specialized format for organizing, processing, retrieving and storing data. Reference Papers:
Hierarchical data structures and algorithms for computer graphics. I. Fundamentals
Data structures and algorithms in a two-level memory
ON THE COMPUTATIONALCOMPLEXITY OF ALGORITHMS
Industrial Robotics is about using robots in factories and warehouses. These robots can do tasks like lifting heavy things or assembling parts, making work easier and safer for people. Reference Papers:
Industrial Robotics Review
Advanced Applications of Industrial Robotics: New Trends and Possibilities
Modern Industrial Robotics Industry
Intelligent User Interfaces (AI in UI): This is when a user interface (like a website or app) uses artificial intelligence to improve the user's experience. It might adapt to the user's needs, learn from their actions, or provide helpful suggestions. Reference Papers:
Intelligent User Interfaces and Their Evaluation: A Systematic Mapping Study
A systematic literature review on intelligent user interfaces: preliminary results
What is "intelligent" in intelligent user interfaces?: a meta-analysis of 25 years of IUI
Cloud-based Game Development is about creating games that are stored on the internet instead of on your device. It allows you to play the same game on different devices and keeps your progress saved online. Reference Papers:
A Game Theory Based Automated SLA Negotiation Model for Confined Federated Clouds
A Security Reputation Model for IoT Health Data Using S-AlexNet and Dynamic Game Theory in Cloud Computing Environment
Cloud-Based Design and Manufacturing (CBDM)A Service-Oriented Product Development Paradigm for the 21st Century
Video Game Design is about planning and creating everything that goes into a game, from the story to the controls. It's like being the director of a movie, but for a game. Reference Papers:
Presence in video games: A systematic review and meta-analysis of the effects of game design choices
The use and effect of video game design theory in the creation of game-based systems for upper limb stroke rehabilitation
Heuristic evaluation for games: usability principles for video game design
Software Development is about writing the code to create a software. It's the actual building process after all the planning and designing. Reference Papers:
Agile Software Development Methods: Review and Analysis
Empirical studies of agile software development: A systematic review
A review of studies on expert estimation of software development effort
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Predictive Models in Identifying At-Risk Learners are systems that use data to predict which students might struggle with their studies. They might look at things like attendance, grades, or engagement to find students who might need extra support.
Reference Papers:
Identifying at-risk students in online learning by analysing learning behaviour: A systematic review
Improving Predictive Modeling for At-Risk Student Identification: A Multistage Approach
Review on Predictive Modelling Techniques for Identifying Students at Risk in University Environment
Product Recommender Systems are tools that suggest products to customers based on their past behavior or preferences. It helps businesses personalize their offerings and customers find products they might like.
Reference Papers:
Recommender System Based on Consumer Product Reviews
A systematic review and research perspective on recommender systems
A review on recommender systems
Intelligent Tutoring Systems are computer programs that provide personalized instruction to students. They use artificial intelligence to adapt to a student's learning style and pace, and can provide feedback and suggestions just like a human tutor would.
Reference Papers:
Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review
Intelligent tutoring systems: an overview
Intelligent tutoring systems.
Requirement Engineering is about figuring out what a new software should do. It's like making a list of features a new app needs to have. Reference Papers:
Requirement Engineering Challenges in Agile Software Development
A Review of Requirement Engineering Issues and Challenges in Various Software Development Methods
Impact and Challenges of Requirement Engineering in Agile Methodologies: A Systematic Review
Question Answering (Chatbots and Conversational Agents) is about making computers chat like humans. They can understand your questions and give you answers, just like talking to a friend. Reference Papers:
Review of artificial intelligence-based question-answering systems in healthcare
Conversational agents for learning foreign languages -- a survey
A Survey of Design Techniques for Conversational Agents
UI (User Interface) design is about creating the parts of a software or website that people interact with. It's about making sure buttons, menus, and other elements are easy to understand and use. Usability Testing is when people test a software or website to see if it's easy to use. Reference Papers:
Usability testing of an academic library Web site: a case study
Usability testing: a review of some methodological and technical aspects of the method
A review of user-interface design guidelines for public information kiosk systems
Medical Chatbot Assistants are like customer service chatbots, but for health. They can answer patients' questions about their health, remind them to take medication, or even help them understand doctor's instructions.
Reference Papers:
Medical Chatbot Techniques: A Review
A Review of AI Based Medical Assistant Chatbot
Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review
Customer Service Chatbots are programs that can talk to customers and answer their questions. They use artificial intelligence to understand what the customer is saying and respond in a helpful way. It's like having a virtual assistant for customer support.
Reference Papers:
Prognosticating anthropomorphic chatbots' usage intention as an e-banking customer service gateway: cogitations from Zimbabwe
ANALYSIS OF E-SERVICE CHATBOT AND SATISFACTION OF BANKING CUSTOMERS IN INDONESIA
BANKING ON ARTIFICIAL INTELLIGENCE: OPPORTUNITIES & CHALLENGES FOR BANKS IN INDIA
Sales Forecasting is a technique that uses historical sales data to predict future sales trends. It's like looking at past patterns to guess what might happen next. This helps businesses plan for the future and make informed decisions.
Reference Papers:
Trends in Machine Learning Applied to Demand & Sales Forecasting: A Review
Machine-learning Sales Forecasting: A Review
Sales Forecasting for Fashion Retailing Service Industry: A Review
EEG (Electroencephalogram) signals are electrical brain wave recordings. They are converted into a digital format and processed using digital signal processing techniques to analyze brain activity. Reference Papers:
EEG spectral analysis in insomnia disorder: A systematic review and meta-analysis
The neural correlates of psychosocial stress: A systematic review and meta-analysis of spectral analysis EEG studies
EEG based interpretation of human brain activity during yoga and meditation using machine learning: A systematic review
Machine Learning in Disease Diagnosis is about using machine learning (a type of artificial intelligence) to help doctors diagnose diseases. It's like having a smart assistant that can analyze medical images or data to find signs of disease that a human might miss.
Reference Papers:
Deep Learning and Medical Diagnosis: A Review of Literature
Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
Applications of Machine Learning Predictive Models in the Chronic Disease Diagnosis
Network Security is about protecting computer networks from attacks or mistakes. It keeps all the information flowing through the network safe from hackers or viruses. Reference Papers:
A Survey of Visualization Systems for Network Security
A Survey on Network Security Monitoring Systems
Sensor network security: a survey
AI (Artificial Intelligence) in game design is about creating intelligent behaviors and actions in games. It helps create characters or situations that can adapt, learn, and respond to the player's actions, making the game more dynamic and engaging Reference Papers:
Game Design as an Autonomous Research Subject
Game Design Tools : Can They Improve Game Design Practice?
Computational Caricatures: Probing the Game Design Process with AIAuthors
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Customer Service Chatbots are programs that can talk to customers and answer their questions. They use artificial intelligence to understand what the customer is saying and respond in a helpful way. It's like having a virtual assistant for customer support.
Reference Papers:
Review of Chatbots Design Techniques
The Use of Chatbots in Digital Business Transformation: A Systematic Literature Review
The Impact of Chatbots on Customer Loyalty: A Systematic Literature Review
Unsupervised Learning is a type of machine learning where the model learns from unlabeled data. The system tries to find patterns and make sense of the data without any prior training, much like a child learning from his/her environment without explicit instructions. Reference Papers:
Unsupervised Learning
Painless Unsupervised Learning with Features
Unsupervised learning using MML
Machine Translation is when a computer translates text or speech from one language to another. It's like having an instant translator for any language you need. Reference Papers:
The use of machine translation algorithm based on residual and LSTM neural network in translation teaching
Neural machine translation: A review of methods, resources, and tools
Fundamental and New Approaches to Statistical Machine Translation
Customer Segmentation is about dividing a company's customers into groups that share similar characteristics. This can help businesses tailor their products, marketing, and services to meet the specific needs of each group.
Reference Papers:
Customer segmentation using machine learning: A literature review
Soft computing applications in customer segmentation: State-of-art review and critique
A Review of Customer Segmentation Methods: The Case of Investment Sector
In game development, simulation is about creating games that mimic real-world situations or processes. It's like creating a virtual version of flying a plane or running a city. Reference Papers:
Decision-Making and Biases in Cybersecurity Capability Development: Evidence from a Simulation Game Experiment
Rapid Development of a COVID-19 Assessment and PPE Virtual Simulation Game
TACTICAL COMBAT CASUALTY CARE: STRATEGIC ISSUES OF A SERIOUS SIMULATION GAME DEVELOPMENT
Stock Market Forecasting involves using data and algorithms to predict future trends in the stock market. It's like trying to guess what's going to happen next in a movie, but with stocks. This helps investors make decisions about buying or selling.
Reference Papers:
Machine learning techniques and data for stock market forecasting: A literature review
Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review
Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda
Business Analytics is about using data to understand how a business is doing and make decisions. It involves collecting data about sales, customer behavior, and more, then analyzing it to spot trends, make predictions, and guide strategy.
Reference Papers:
A systematic review on business analytics PDF Logo
Business analytics in Industry 4.0: A systematic review
Defining business analytics: an empirical approach
Predictive Models are tools that use past data to predict future outcomes. It's like a crystal ball that uses math instead of magic to predict the future. Reference Papers:
Predictive models in the brain
Widespread access to predictive models in the motor system: a short review
A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care
Software Maintenance is about keeping a software up-to-date and fixing any problems after it's been launched. It's like a car mechanic who fixes problems and keeps the car running smoothly. Reference Papers:
Software Maintenance and Evolution: The Implication for Software Development
A Review on Software Maintenance Issues and How to Reduce Maintenance Efforts
Software Product Maintenance: A Case Study
Handwriting Recognition is when a computer can understand and convert handwritten text into digital text. It's how a computer reads handwriting. Reference Papers:
Handwriting recognition: State of the art and future trends
Digital Transforms in Handwriting Recognition
Directional features in online handwriting recognition
Blockchain Technology is a type of digital technology that records and verifies transactions in a decentralized and secure way. It's like a public, unchangeable record book that anyone can check, but no one can tamper with. Reference Papers:
Emergence of Blockchain Technology: Fundamentals, Working and its Various Implementations
Blockchain Technology Overview
Where Is Current Research on Blockchain Technology?—A Systematic Review
Recommender Systems
Recommender Systems are the programs that help predict what users might like, based on data about user preferences or behaviors. Think of it like a friend who knows your tastes and suggests things you might like. Reference Papers:
Hybrid Recommender Systems: Survey and Experiments
AutoML for Deep Recommender Systems: Fundamentals and Advances
Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances
Biomedical Robotics is when robots are used in medicine and health care. They can help doctors perform surgeries or assist patients with mobility. Reference Papers:
Biomedical applications of soft robotics
Soft medical robotics: clinical and biomedical applications, challenges, and future directions
Biomedical soft robots: current status and perspective
Robot Navigation and Control is about making robots move around and do tasks correctly. It's like teaching a robot how to walk and grab things without bumping into stuff. Reference Papers:
A non-potential orthogonal vector field method for more efficient robot navigation and control
A Review of Visual Perception for Mobile Robot Navigation: Methods, Limitation, and Applications
Developing an integrated software environment for mobile robot navigation and control
AI-based Assessment Tools are tools that use artificial intelligence to evaluate or grade something. In education, for example, they might grade essays or quizzes. In business, they could assess employee performance.
Reference Papers:
Development of a Method for Clinical Evaluation of Artificial Intelligence–Based Digital Wound Assessment Tools
An AI-Based System for Formative and Summative Assessment in Data Science Courses
Using Peerceptiv to support AI-based online writing assessment across the disciplines
Cryptography is a way of protecting information by turning it into a secret code. It keeps data safe so only the people who should see it can understand it. Reference Papers:
A Review Paper on Cryptography
A Survey on Cryptography Algorithms
An Overview of Cryptography
Learning Analytics involves using data about students and their learning to improve education. It can involve analyzing things like grades, study habits, and online activity to understand how students learn and how to help them succeed.
Reference Papers:
Learning Analytics in Higher Education—A Literature Review
An overview of learning analytics
Learning analytics in higher education --- challenges and policies: a review of eight learning analytics policies
Medical Decision Support Systems are tools that help doctors make medical decisions. They use data and algorithms to provide advice or suggestions. It's like having a trusted advisor that uses medical knowledge and patient data to help doctors decide on the best treatment.
Reference Papers:
Effect of Clinical Decision-Support Systems
An overview of clinical decision support systems: benefits, risks, and strategies for success
Evaluating informatics applications—clinical decision support systems literature review
Personalized Assisted Learning is an approach to education that uses technology to adapt learning to each student's needs. It's like having a personal tutor for every student, helping them learn in the way that suits them best.
Reference Papers:
Computer: A fourth generation distance education system: Integrating computer‐assisted learning and computer conferencing
Generic Digital Equity Model in Education: Mobile-Assisted Personalized Learning (MAPL) through e-Modules
A Systematic Review of Personalized Learning: Comparison between E-Learning and Learning by Coursework Program in Oman
Data Mining is a process where a computer sifts through lots of data to find useful patterns or trends. It's like digging for hidden treasures in a mountain of information. Information Retrieval is how a computer finds the specific data you're looking for from a large collection. It's like using a search engine to find information on the internet. Reference Papers:
Data Mining and Information Retrieval in the 21st century: A bibliographic review
Textual Data Mining to Support Science and Technology Management
Issues In Data Mining And Information Retrieval
NLP in Clinical Documentation involves using Natural Language Processing (a field of AI) to understand and manage medical documents. It's like having a smart system that can read doctors' notes, understand the medical terms, and organize the information efficiently.
Reference Papers:
Natural language processing to extract medical problems from electronic clinical documents: Performance evaluation
Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm
Using Natural Language Processing on the Free Text of Clinical Documents to Screen for Evidence of Homelessness Among US Veterans
Data Modeling is like creating a map for your data. It shows how different pieces of information are connected and can be used to organize and understand your data better. Data Visualization is about turning numbers and data into easy-to-understand pictures or graphs. It makes complex data more understandable and helps you see patterns or trends. Reference Papers:
Enhancing the T-shaped learning profile when teaching hydrology using data, modeling, and visualization activities
Data Modeling and Visualization of Tax Strategies Employed by Overseas American Individuals and Firms
ugtm: A Python Package for Data Modeling and Visualization Using Generative Topographic Mapping
Health Monitoring Wearable Devices are devices like smartwatches or fitness bands that you wear on your body. They can track things like your heart rate, sleep patterns, or how much you move, giving you useful information about your health.
Reference Papers:
Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices
Wearable Devices for Physical Activity and Healthcare Monitoring in Elderly People: A Critical Review
Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey
Network Security is about protecting computer networks from attacks or mistakes. It keeps all the information flowing through the network safe from hackers or viruses. Reference Papers:
A Survey of Visualization Systems for Network Security
A Survey on Network Security Monitoring Systems
Sensor network security: a survey
Customer Credit Risk Modeling is a way banks predict the likelihood of a customer not repaying their loans. It uses data like a customer's income, credit history, and loan amount to determine the risk of lending money to them.
Reference Papers:
Machine learning-driven credit risk: a systemic review
Credit Risk Assessment of Banks' Loan Enterprise Customer Based on State-Constraint
Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment
Cloud Computing is about using the internet to store, manage, and process data instead of using your personal computer. It's like storing your files online so you can access them from anywhere. Reference Papers:
Cloud computing review: concepts, technology, challenges and security
A systematic review on cloud computing
A Review Paper on Cloud Computing
Human-Robot Interaction is about how people and robots communicate and work together. It focuses on making robots that can understand and respond to humans in a helpful and friendly way. Reference Papers:
Human–robot interaction review and challenges on task planning and programming
Human-Robot Interaction Review: Challenges and Solutions for Modern Industrial Environments
Human–Robot Interaction: Status and Challenges
Interaction Design is about designing how users interact with a software or website. It's making sure that when you click a button or swipe a screen, the software responds in a way that makes sense. Reference Papers:
Interaction design and service design: Expanding a comparison of design disciplines
Socio-technical systems and interaction design – 21st century relevance
Research through design as a method for interaction design research in HCI
Pattern Recognition is a process where a computer learns to identify repeated or common patterns in data. It's like a computer spotting a repeating theme in a series of photos or text. Reference Papers:
A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies
Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends
Supervised pattern recognition in food analysis
UX (User Experience) in Game Design is about making games easy and fun to play. It focuses on how the game feels to the player and how easy it is to understand and control. Reference Papers:
User Experience of Educational Games: A Review of the Elements
User experience on games development trends
User Experience in Digital Games: Differences Between Laboratory and Home
Audio signals are digital representations of sound waves. They undergo digital processing techniques like filtering, equalization, and compression to enhance audio quality, extract information, and perform tasks such as speech recognition and music synthesis. Reference Papers:
Sentiment analysis: A literature review
Sentiment Analysis Using Deep Learning Techniques: A Review
A Review on Home Automation Using Voice Recognition
Text Classification is a machine learning technique that assigns predefined categories to text. It's used in various applications such as filtering spam emails, sentiment analysis, and tagging customer queries. Reference Papers:
A novel probabilistic feature selection method for text classification
A Survey of Text Classification Algorithms
Hierarchical Multilabel Text Classification via Multitask Learning
Image Recognition is when a computer can identify objects, people, or actions in images. It's how a computer knows what's in a picture. Reference Papers:
Multi-Label Image Recognition with Joint Class-Aware Map Disentangling and Label Correlation Embedding
Algebraic feature extraction of image for recognition
Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching
Supervised Learning is a type of machine learning where the model is trained on labeled data. That means the model learns from data that is already tagged with the correct answer, much like a student learning under the supervision of a teacher. Reference Papers:
Supervised Machine Learning: Algorithms and Applications
Supervised Machine Learning for Population Genetics: A New Paradigm
Supervised Learning of Probability Distributions by Neural Networks
Bio-Inspired Robotics is about designing robots that mimic animals, insects, or humans. By copying nature, we can create robots that move, behave, or solve problems in new and innovative ways. Reference Papers:
Self-Organization, Embodiment, and Biologically Inspired Robotics
Biomimetic and bio-inspired robotics in electric fish research
THE NEUROSCIENCE OF VISION-BASED GRASPING: A FUNCTIONAL REVIEW FOR COMPUTATIONAL MODELING AND BIO-INSPIRED ROBOTICS