Machine learning is an important cornerstone in the field of artificial intelligence, using big data and algorithms to equip computer systems with the ability to learn and optimize. With the development of artificial intelligence, machine learning has been widely used in various fields, such as natural language processing, computer vision, finance and healthcare. Intelligent systems engineering further combines machine learning algorithms with practical applications to develop intelligent systems that can solve complex problems.
The 2023 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2023) will be held on December 22-24, 2023 in Mianyang, China.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.
Full Paper Submission Date: October 15, 2023
Notification Date: November 10, 2023
Final Paper Submission Date: November 30, 2023
Registration Deadline: December 10, 2023
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.
MLISE 2022: Conference Proceedings: IEEE Xplore 丨EI Compendex丨Scopus
MLISE 2021: Conference Proceedings: IEEE Xplore 丨EI Compendex丨Scopus
Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.