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COMPAS 24
COMPAS-24
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Track 1: Artificial Intelligence, Machine Learning, and Soft Computing
Advancements in Deep Learning Algorithms
Neural Network Architectures and Their Applications
AI Ethics: Bias, Fairness, and Accountability
Use Cases of Reinforcement Learning in Real-world Scenarios
Soft Computing Techniques for Decision-Making Problems
Natural Language Processing and Sentiment Analysis
Generative Adversarial Networks (GANs) and Their Impacts
AI in Healthcare: Opportunities and Challenges
Machine Learning in Predictive Analytics
Explainability and Transparency in AI
Track 2: Cognitive Science and Computational Biology
Cognitive Architectures: Theory and Applications
Modelling of Neural Processes
Computational Approaches in Genomics and Proteomics
Cognitive Science in Human-Computer Interaction
Bioinformatics and the Evolutionary Algorithms
AI and Cognitive Science in Understanding Human Behaviour
Cognitive Robotics and Perception
Advances in Machine Learning for Drug Discovery
Computational Neuroscience: Bridging the Gap between AI and Biology
Cognitive Science and Artificial Life
Track 3: Internet of Things (IoT) and Data Analytics
Role of Big Data in IoT
Edge Computing: Revolutionizing IoT Data Processing
Cyber-Physical Systems and Their Relevance to IoT
Predictive Maintenance Using IoT and Data Analytics
IoT in Smart Cities: Applications and Challenges
Security Concerns in IoT Infrastructure
Role of AI in IoT: Opportunities and Challenges
Data Analytics for IoT in Healthcare
IoT in Industry 4.0: A Revolution in Manufacturing
Advances in IoT Device Interoperability
Track 4: Network and Security
Cybersecurity Threats and Measures in a Digital Age
Blockchain for Secure Networking: Possibilities and Challenges
Network Function Virtualization and Software-Defined Networking
Data Privacy in the Age of AI and Big Data
Quantum Cryptography and Its Future Prospects
Intrusion Detection Systems: New Approaches and Techniques
Network Security Policies and Regulations: An International Perspective
Forensics and Incident Response in Cybersecurity
Mobile and Wireless Network Security
Network Anomaly Detection Using Machine Learning
Track 5: Signal Processing and Computer Vision
Advances in Image and Video Processing
Signal Processing Techniques for Wireless Communication
Machine Learning in Signal Processing
Biomedical Signal Processing and Analysis
Real-time Object Detection and Recognition Techniques
Computer Vision in Autonomous Vehicles
Deep Learning for Speech and Audio Processing
Signal Processing for Augmented and Virtual Reality
Advances in Computational Photography
Computer Vision for Industrial Inspection
Track 6: Algorithms and Computation
Quantum Algorithms and Their Implications
Evolutionary Computation and Genetic Algorithms
Machine Learning Algorithms: From Theory to Practice
Swarm Intelligence: Concepts and Applications
High-Performance Algorithms and Their Applications
Metaheuristics in Optimization Problems
Algorithmic Game Theory and Mechanism Design
Distributed Algorithms for Scalable Systems
Complexity Theory and Cryptographic Algorithms
Algorithms for Data Mining and Knowledge Discovery
Track 7: Quantum Computing, Communication, and Optics
Quantum Algorithms: Developments and Applications
Quantum Computing and Cryptography: Threats and Opportunities
Quantum Key Distribution: Enhancing Secure Communication
Quantum Optics in Information Processing
Quantum Machine Learning: Opportunities and Challenges
The Role of Quantum Computing in Big Data and AI
Photonics in Communication Systems
Integrated Optoelectronic Devices for Communication
Optical Networking and Communication Technologies
Optical Sensor Design for Communication Systems