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

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

Website URL: http://mlise.org

Conference Date：August 5-7, 2022.

Location: Guangzhou, China

Official Email: [email protected]

Notification Date: 1 weeks after submission

【About the conference】

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

【Co-Organizer】

Southwest University of Science and Technology

GSRA Conference

【Conference Chairs】

1. Prof. Gang He, Southwest University of Science and Technology, China

【Technical Program Committee Chair】

Prof.Muhammad Sarfraz, Kuwait University, Kuwait

【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.

【Call For Papers】

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

â—† 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

â—† 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

【Contact Us】

Ms. Guo

QQ: 2152116918

TELL: +86-18124944750

Wechat: 18124944750