Categories |
Call for Papers |
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 of Learning Algorithms 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. |
Summary |
ICMLAS 2022 : 2nd International Conference on Machine Learning and Autonomous Systems will take place in Rohini College of Engineering and Techno. It’s a 2 days event starting on Oct 7, 2022 (Friday) and will be winded up on Oct 8, 2022 (Saturday). ICMLAS 2022 falls under the following areas: etc. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the ICMLAS 2022
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Credits and Sources |
[1] ICMLAS 2022 : 2nd International Conference on Machine Learning and Autonomous Systems |