Over recent decades, Machine learning (ML) and intelligent systems have become an entrenched part of everyday life and are now comprehensively applied for solving practical problems. Emerging techniques such as big data analysis, deep neural networks, AI, and IoT have been adopted and integrated into the development and application of machine learning and intelligent systems. The broad application of machine learning and intelligent systems in the fields of industry, medicine, engineering, education and other mainstream domains greatly benefit our work and life.

The International Conference on Machine Learning and Intelligent Systems (MLIS) is an annual conference that aims to provide a platform for knowledge exchange of the most recent scientific and technological advances in the field of ML and intelligent systems, and to strengthen links in the scientific community in related research areas. MLIS 2023 is to be held in Macau, China as well as online via MS TEAMS from 17–20 November 2023. The plenary session of MLIS2023 will include Keynote Speeches, Invited Speeches, Poster Presentations and Oral Presentations. Scientific topics covered at MLIS 2023 include data mining, image processing, neural networks, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, and deep learning.

This book contains the proceeding of the 5th International Conference on Machine Learning and Intelligent Systems (MLIS 2023). Rigorous peer review was conducted on each paper by at least two reviewers, and 20 accepted papers were selected from more than 80 submitted full papers, based on the review results on originality, scientific/practical significance, compelling logical reasoning and language. Comments from active reviewers like Prof. S.P. Thirumuruganandham, Dr. Manuela Freire from the University of Coimbra, Dr. Yan Yang from Cornell University, Dr. Seethalakshmi V from Anna University, Dr. Imran Iqbal from Peking University, among others, engaged authors to respond to pertinent questions for the camera-ready versions of their papers. We believe the 20 selected papers included here will provide innovative and original ideas or results of general significance in the field of ML and intelligent systems.

On behalf of the conference organizers, we would like to take this opportunity to express our sincere thanks to the Guest Editor and reviewers for their tremendous efforts and dedication to the conference and to the authors for their relevant contributions to the conference, as well as to all the colleagues from the publishers, IOS Press, for their support and their tireless efforts towards the publication of the conference proceedings. We believe that with their earnest support and contributions, future MLIS Conferences will continue to scale new heights.

Guest Editor:

Prof. Jon-Lark Kim

Sogang University, South Korea