The topics of the conference are divided into following main themes. Papers include but not limited to the following topics are invited for submission.
Machine Learning and Computer Vision
Deep Learning and Applications
Data Mining and Knowledge Discovery
Pattern Recognition
Decision Support Systems
Object Detection and Recognition
Classification and Clustering
ML for Computer Vision
Reinforcement Learning
Dimensionality Reduction
Text Analytics
Time Series Data Analysis
Low-level vision and Image Processing
Big data and Large Scale Methods
Biometrics, face and gesture
Physics and Mathematical Models in CS
Optimization methods
Applied Artificial Intelligence Applications
Artificial Intelligence (AI) and Applications
Computer Aided Diagnosis
Audio and Speech Analysis
Biomedical Signal Processing Applications
Web Intelligence Applications and Search
Soft Computing Theory and Applications
Knowledge-based Systems & Pattern Recognition
AI for Bioinformatics
AI for Industry 4.0
AI for Internet of Things
AI for Grid-computing
AI applications in Cloud-computing
AI in 5G and Beyond (5G)
AI for Medical Image Analysis
AI for image generation
Adversarial Machine Learning and Countermeasures
Blockchain, IoT, and the Internet of Things
Advancements in Blockchain Technology for IoT Security
Integrating Blockchain with IoT for Supply Chain Transparency
Impact of IoT and Blockchain on Smart Cities Development
IoT Device Management and Security using Blockchain
Blockchain Solutions for IoT Data Privacy and Integrity
Use Cases of Blockchain and IoT in Healthcare
Energy Efficiency in IoT through Blockchain Innovations
Decentralized Applications (DApps) for IoT Ecosystems
Blockchain and IoT in Agricultural Technology and Food Safety
5G Technology, IoT, and Blockchain: Opportunities and Challenges
Blockchain, IoT, and the Future of Smart Home Technologies
Emerging Trends in IoT and Blockchain for Retail Industry
IoT and Blockchain in Automotive Industry
Blockchain-Enabled IoT for Supply Chain Management
Regulatory and Ethical Considerations in Blockchain and IoT Integration
Smart Grids, Renewable Integration, and AI Applications
Smart Grid Technologies and Applications
Artificial Intelligence in Power System Optimization
Renewable Energy Integration in Modern Power Systems
Cybersecurity Challenges in Smart Grids
Machine Learning for Power Load Forecasting
Energy Storage Systems for Sustainable Power Networks
Electric Vehicle Charging Infrastructure and Grid Stability
Blockchain for Energy Trading and Decentralized Power Management
Power Electronics for High-Efficiency Energy Conversion
Fault Detection and Diagnosis in Power Transmission Systems
Microgrid Development and Energy Management Strategies
Impact of Climate Change on Power System Reliability
IoT-Based Monitoring and Control in Power Systems
Advanced Control Techniques for Renewable Energy Integration
Optimization of Power Distribution Networks Using AI and Big Data