MLISE 2022 - 【IEEE Xplore、EI、Scopus】2022 2nd International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2022)

Website http://mlise.org | Edit Freely

Category Machine Learning, Intelligent Systems Engineering, International Conference

Deadline: May 12, 2022 | Date: August 05, 2022

Venue/Country: Guangzhou, China, China

Updated: 2022-04-06 16:30:56 (GMT+9)

Call For Papers - CFP

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Website URL: http://mlise.org

Conference Date：August 05-07, 2022

Location: Guangzhou, China

Official Email: icmlise163.com

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) [第二届机器学习与智能系统工程国际学术会议]. MLISE 2022 will be held in Guangzhou, China during August 05-07, 2022.

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【Publication】

All accepted papers of MLISE 2022 will be published in the conference proceedings by IEEE CPS (Conference Publishing Services), which will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.

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【Call For Papers】

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

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◆ 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

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◆ 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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【Contact Us】

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