Call For Papers

GCAAIDS 2024 is a three-day International Conference specially designed with a cluster of scientific and technological sessions, providing a common platform for researchers, academicians, industry delegates, scientists, professionals, industry and government policy-makers, engineers, and students across the globe to share and exchange their knowledge and contribution. This conference attends to emerging areas of research and development related to the new challenges presented by the COVID-19 pandemic, focusing specifically on aspects and applications of artificial intelligence.

The conference is equipped with well-organized scientific sessions, keynote and plenary lectures, research papers, poster presentations, and world-class exhibitions.

This conference also has some special sessions related to innovative applications with Artificial Intelligence, the Internet of Things, and Cloud Computing and a demo session for innovations achieved through prototyping and simulation.

Topics and technical areas of interest include but are not limited to the following:

Track-1:-Hybrid AI Systems

• Fusion of soft computing and hard computing
• Intelligent Human Interfacing
• Intelligent agent-based systems
• Cognitive and Reactive distributed AI systems
• Computation in Bio-Medicine
• Intelligent Time Series processing
• Evolutionary Computation
• Ensemble Techniques
• AI and Robotic Process Automation
• Edge Computing and Artificial Intelligence
• Generative AI
• Explainable AI

Track 2:- Advanced Computing and Statistics

• NLP and Machine Translation
• Intelligent Control and Automation
• Visual and Multimedia Computing
• Audio and Speech Processing
• Big Data Analytics
• Mathematical Modelling and Optimization
• Mathematical Statistics
• Combinatorial game theory
• Pattern Recognition and Analysis

Track 3:-Data Science

• Big Data Analytics for Human-centric computing
• Cloud Computing Techniques for Big Data
• Data Mining in Healthcare data
• Data Mining in Security
• High-performance data mining algorithms
• Biometrics, face, and gesture analysis
• Biomedical image analysis
• Human-Centric Visual Analysis with Deep Learning
• Data Security: Block-Chain Technology
• Applications of Computational Intelligence techniques for human aspects