Journal Name: International Journal of Machine Learning and Engineering
Short Name: IJMLE
ISSN Print: 3136-8808
ISSN Online: 3136-8816
Frequency: Tri-Annually
Name of Publisher: Lyndon & Francis Publishing Group
About the Journal
The International Journal of Machine Learning and Engineering (IJMLE) is a peer-reviewed, interdisciplinary journal dedicated to the latest advancements in the field of machine learning and engineering. It serves as a platform for the dissemination of high-quality research, exploring both theoretical and applied aspects of machine learning techniques and their integration into engineering practices. The journal publishes original research articles, review papers, case studies, and technical notes that highlight innovative applications of machine learning in various engineering domains, including but not limited to, robotics, control systems, signal processing, computational intelligence, and automation.
With a focus on bridging the gap between machine learning algorithms and engineering applications, IJMLE aims to foster the exchange of ideas between researchers, engineers, and industry professionals. The journal also encourages discussions on the ethical implications, challenges, and future directions of machine learning in engineering fields.
Current Issue
Vol. 2 No. 2 (2026): International Journal of Machine Learning and Engineering
Published:
2026-08-31
