Call for Papers
TRACK 1: Intelligent Computer Vision and Surveillance Systems
- UAV-based Vision Systems for Smart Surveillance and Disaster Response
- Computer Vision for Coal Mining, Industrial Safety, and Environmental Monitoring
- Image & Video Forensics for Security Applications
- Object Detection, Motion Analysis, and Scene Understanding
- Biomedical Image Processing and Cognitive Diagnostics
- Vision-Based Edge Computing for IoT Devices
TRACK 2: Cognitive Computing and Artificial Intelligence
- Cognitive Architectures and Cognitive Robotics
- Human–Computer Interaction and Emotion-Aware Interfaces
- Reinforcement Learning and Cognitive Agents
- Context-Aware and Adaptive Systems
- Explainable AI and Trustworthy AI Systems
- Machine Learning and Deep Learning for Cognitive Networks
- Natural Language Processing for Security and Vision Systems
TRACK 3: Security, Forensics, and Blockchain Systems
- Cognitive Architectures and Cognitive Robotics
- Human–Computer Interaction and Emotion-Aware Interfaces
- Reinforcement Learning and Cognitive Agents
- Context-Aware and Adaptive Systems
- Explainable AI and Trustworthy AI Systems
- Machine Learning and Deep Learning for Cognitive Networks
- Natural Language Processing for Security and Vision Systems
TRACK 4: Evolutionary and Bio-Inspired Computing
- Memetic Algorithms and Genetic Algorithms
- Swarm Intelligence and Collective Behavior
- Evolutionary Search, Multi-Objective Optimization, and Meta-Heuristics
- Agent-Based Systems and Artificial Life
- Quantum-Inspired Evolutionary Computation
- Bio-Inspired Hardware Systems and Neural Evolution
- Evolutionary Computation in Games and Entertainment Technologies
TRACK 5: Sustainable and Energy-Efficient Networks
- Sustainable Energy Grids and Smart 5G Networks
- Green Wireless Sensor Networks and UAV-based Communication
- Energy-Efficient Cloud and Edge Computing
- Software-Defined Networking (SDN) and Network Function Virtualization (N)
- Big Data Analytics for Sustainable Cities
- Cognitive Mobile Networks and Renewable Energy Sources
- Smart Embedded Systems and Low-Power IoT Architectures
TRACK 6: Intelligent Systems, IoT, and Smart Applications
- Embedded Systems and Intelligent Robotics
- Internet of Things (IoT) for Smart Agriculture and Aquaculture
- Smart Cities and Environmental Monitoring
- Pervasive and Ubiquitous Computing
- Data Science, Data Analytics, and Pattern Recognition
- Machine Learning for Eco-Friendly Computing Solutions
- Cognitive Algorithms for Sustainable Resource Management
TRACK 7: IoT Applications for Smart Mining & Industrial Systems
- IoT-based real-time monitoring of mining environments and industrial processes
- Worker safety systems using wearable devices and computer vision techniques
- UAVs, robotics, and automation for inspection, mapping, and hazardous operations
- Predictive maintenance and fault diagnosis using AI and sensor data
- Secure, energy-efficient, and edge-enabled industrial IoT communication systems
TRACK 8: IoT Applications for Smart Aquaculture & Fisheries
- Smart fish farming using IoT for feeding, tracking, and growth monitoring
- Real-time water quality monitoring using sensors and AI-based analytics
- UAV and remote sensing technologies for aquatic ecosystem surveillance
- Computer vision for fish detection, disease identification, and behavior analysis
- Energy-efficient, secure, and sustainable IoT systems for aquaculture management
