?EI?Scopus?2022 2nd International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2022)

Added by on 2022-05-12

Conference Dates:

Start Date Start Date: 2022-08-05
Last Date Last Day: 2022-08-07
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2022-06-28

Conference Contact Info:

Contact Person Contact Person: Ms. Guo
Email Email: [email protected]
Address Address: Guangzhou, Guangzhou, China

Conference Description:

Website URL: http://mlise.org
Conference Date?August 5-7, 2022
Location: Guangzhou, China
Official Email: [email protected]
Notification Date: 1 weeks after submission
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?About the conference?
Welcome to the official website of 2022 2nd International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2022?. MLISE 2022 will be held in Guangzhou, China during August 5-7, 2022.
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?Publication?
All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of MLISE 2022 will be submitted for indexing by Ei Compendex and Scopus.
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?Call For Papers?

Other related topics (http://mlise.org/a/Call_For_Papers/)

? Machine Learning
Deep and Reinforcement learning
Pattern recognition and classification for networks
Machine learning for network slicing optimization
Machine learning for 5G system
Machine learning for user behavior prediction
New innovative machine learning methods
Optimization of machine learning methods
Performance analysis of machine learning algorithms
Experimental evaluations of machine learning
Data mining in heterogeneous networks
Machine learning for multimedia
Machine learning for Internet of Things
Machine learning for security and protection
Distributed and decentralized machine learning algorithms
Data analysis and mining
Pattern recognition
Neural network

? Intelligent Systems Engineering
Intelligent control theory
Intelligent control system
Intelligent information systems
Intelligent data mining
AI and evolutionary algorithms
Distributed AI algorithms and technique
Distributed AI systems and architectures
Neural networks and applications
Multi-mode dynamic perception and natural interactions
Robot navigation, positioning and autonomous control
Robot perception and data fusion
Multi-robot collaborative control
Intelligent information fusion
Intelligent manufacturing
Intelligent systems
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