2023 3rd International Conference on Machine Learning and Intelligent Systems Engineering 

(MLISE 2023)

Important Information

Time and Venue: June 30-July 2, 2023, Chengdu, China.

Official website: http://mlise.org

Submission Deadline: June 19, 2023

published in the Conference Proceedings, indexed by EI, Scopus

>>>MLISE 2021-2022 papers have been indexed by EI and Scoups.

WELCOME TO MLISE 2023

The 2023 3rd International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2023) will be held on June 23-25, 2023 in Chengdu, China.MLISE is conducting exciting series of symposium programs that connect researchers, scholars and students to industry leaders and highly relevant information. The conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. MLISE propose new ideas, strategies and structures, innovating the public sector, promoting technical innovation and fostering creativity in development of services. 

Keynote Speaker

Prof. Arun Balodi,  Atria Institute of Technology in Bangalore,  India.（IEEE Senior Member）

Prof. Nagaraja G.S, Visweswariah Technological University,  India.（IEEE Senior Member）

Prof. Gang Fang, Guangzhou University, China

Call for paper

Topics of interests are including but not limited to:
(I) 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
Neural network

(II) Intelligent Systems Engineering 
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

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 2023 will be published in the conference proceedings, it will be submitted to EI Compendex, Scopus for indexing.

Submission

Only for overseas authors: You can submit your paper (word+pdf) via Electronic Submission System

Paper Requirements

1.Please follow the Manuscript template to write 

2.All submissions must not be less than 4 pages and not exceed 10 pages in length.

3.The article should be original writing that enhances the existing body of knowledge in the given subject area.

4.Results reported have not been submitted or published elsewhere.

5. Experiments, statistics, and other analyses are performed to a high technical standard and are described in sufficient detail.

6.Conclusions are presented in an appropriate fashion and are supported by the data.

7.The article is presented in an intelligible fashion and is written in Standard English.

8. Appropriate references to related prior published works must be included.

Details of the attending registration

Join as Presenter: If you are interested in giving presentation on conference, without publishing your paper in the proceeding, you can choose to attend MLISE 2023 as a Presenter. As presenter, you need to submit the abstract and title of your presentation before register. For further information, please contact us at: icmlise@163.com

Join as Listener: MLISE  2023 is an unmissable conference. It is a good chance and an effective plateform to meet many renowned experts and reseachers in the filed of Latest academic research. You are welcome to attend this great event. You need to complete the registration as Listener before the registration dealdine.

Registration

Contact us

 E-mail：icmlise@163.com

Cellphone：

Ms.Kwok :+86-18124944750

Ms. Han:  +86-15820210118