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