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Track 1: Theory, Methods and Tools:
Artificial intelligence and data science
Machine learning
Data Structures & Algorithms
Decision support system
Extraction of Biometric Features (fingerprint, face, gait)
Time series modelling
Evolutionary ensemble systems
Evolutionary optimization, machine vision, pattern recognition
Information Theory
Game Theory
Machine learning and deep learning methods in Healthcare
Data Mining and Bioinformatics
Multi-dimensional Big Data
Real-world problem solving using swarm intelligence
– Track 2: Computer Networks and Communications:
Internet of Things
Next generation wireless/wireline communications
Cryptography and information security
Communication networking
Parallel and distributed computing
Social Network Applications
Mobile computing
Adhoc and sensor networks
Internet and Web applications
Mobile application and security
Network Protocols and Wireless Networks
Wireless Multimedia systems
-Track 3: Application Fields in information science and technology:
Surveillance Systems
Virtual reality and its application
Manufacturing systems
Robot control
Software Engineering,
Computer Animation
Multimedia Systems and Services
Integrating Technology in Education
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