About the Journal

Aims and Scope

EAI Endorsed Transactions on Intelligent Systems and Machine Learning is a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal publishes original research and review articles written by today's experts in the field. Its coverage also includes papers on intelligent systems with machine learning applications in areas such as nanotechnology, renewable energy, medicine, engineering, Aeronautics and Astronautics, Mechatronics, industrial, manufacturing, bioengineering, agriculture, services, intelligence-based automation and appliances, medical application and robotic rehabilitations, space exploration, Medical Treatment, and Health, Business, and Finance, Internet of Things (IoT). Research addressing machine learning applications in other fields is also encouraged.

Article Processing Charge (APC)

This journal does not apply APC to process or publish articles.


All articles in the journal are of Open Access (OA).


This is a continuous publication journal.

Copyright notice

Authors retain copyright over their materials and are free to copy, redistribute, remix, transform, and build upon the material since all the papers are published under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.


All the articles published by EAI are archived using Portico's e-journal preservation service, together with CLOCKSS and LOCKSS. This ensures that all articles published are preserved and available for future researchers and students.

Privacy statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal. They will not be made available for any other purpose or to any other party.