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

Welcome to MLISE 2022

Notice:

Dear scholars, given the pandemic of Covid-19 in various areas in China, the Organizing Committee has carefully decided to hold the conference online. We sincerely apologize for any inconvenience caused to you.

The 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] will be held in Guangzhou, China during August 5-7, 2022.

MLISE is an annual conference which explores the development and implications in the related fields of Machine Learning and Intelligent Systems Engineering with an objective to present the novel and fundamental advancements. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Machine Learning and Intelligent Systems Engineering. Featured with invited speeches and paper presentations, MLISE 2022 welcomes submission of researches concerning any branch of Machine Learning and Intelligent Systems Engineering. Sincerely invite you to attend the conference.

Official Chinese website：https://www.ais.cn/attendees/index/E3Q77B

MLISE 2022 has been officially approved by IEEE!

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Important Dates

Submission Deadline: June 28, 2022 Notification of Acceptance: July 12, 2022 Final Paper Submission：July 20, 2022

Registration Deadline: July 26, 2022 Conference Date: August 5-7, 2022

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 published by Conference Publishing Services (CPS) and will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.

◆ EI Template Download：Template

◆ Submission Methods: SUBMISSION SYSTEM

Call For Paper

A. Machine Learning

B.Intelligent Systems Engineering

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
* Other related topics..

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
* Other related topics..

C.Other Related Topics | 其他相关主题