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 Enhanced Logistics and Supply Chain Management
Regulatory and Ethical Considerations in Blockchain and IoT Integration
Big Data and Cloud Computing
Advancements in Cloud Computing Architectures for Big Data Analytics
Enhancing Data Security and Privacy in Big Data Cloud Environments
Machine Learning and AI Integration in Cloud-Based Big Data Solutions
Scalable Storage Solutions for Big Data in Cloud Computing
Cloud Computing and Big Data in Predictive Analytics
Real-Time Big Data Processing in Cloud Environments
Edge Computing and its Role in Big Data and Cloud Services
Big Data Cloud Computing for IoT Data Management and Analysis
Challenges and Solutions in Big Data Migration to the Cloud
Impact of Cloud Computing on Big Data in Healthcare Industry
Big Data Visualization Techniques in Cloud Computing Platforms
Cloud-Based Big Data Solutions for E-commerce Optimization
Energy-Efficient Cloud Computing Models for Big Data Processing
Legal and Regulatory Aspects of Big Data in the Cloud
Future Trends in Big Data and Cloud Computing Technologies