Machine Learning

• Computational Learning Theory and Applications
• Knowledge Discovery and Acquisition
• Cognitive Modelling and Data Analysis Techniques
• Hybrid Learning Algorithms
• Data and Knowledge Representation Models
• Deep Learning Approaches
• Mutli-agent Systems and Learning Models
• Support Vector Machine
• Intelligent Information Retrieval Techniques
• Reinforcement Learning Approaches
• Fuzzy-based Learning Approaches
• Machine Learning for Web and Social Network Mining
• Intelligent Feature Extraction Techniques
• Mobile Data Mining and Analysis
• Parallel and Distributed Learning Algorithms
• Statistical and Analytical Learning
• Scalability and Reliability 0f Learning Algorithms

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Autonomous Systems

• Theoretical Foundations for Autonomous Systems
• Complex and Adaptive Autonomous Systems
• Autonomous Computing Platforms and Applications
• Cognition-Inspired Autonomous Systems
• Multi-Autonomous Systems and Applications
• Autonomous Algorithms and Models
• Adaptive and Autonomous Robots
• Real-Time Autonomous Systems
• Smart and Distributed Autonomous Systems
• Autonomous Software and Operating Systems
• Autonomous Sensors and Embedded Systems
• Optimization and Control Algorithms for Autonomous Systems
• Novel Control Models and Structures for Autonomous Systems
• Learning, Adaptation, and Estimation Methods for Autonomous Systems
• Innovative Applications of Autonomous Systems: Healthcare, Agriculture, Industries, Military, Smart Cities, Smart Home, Education, and So On.

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