Journal of Machine Learning and Information Security

Editor-in-Chief: Prof. Xiaofeng Liao, Chongqiong University, China.

The Journal of Machine Learning and Information Security (JMLIS) aims to be one of the world's premier journals for disseminating cutting-edge research in the broad domains of advanced Machine Learning and Information Security. It will cover feature, perspective and review articles, alongside original research, focusing on the advanced theories and practical applications in mathematics, computer science, electronic information, industrial engineering, control science, communication engineering, and other fields. It is anticipated to serve as the hub for sharing knowledge among researchers. It is published quarterly online by Scilight Press. More