Machine Learning. Engineering is a peer-reviewed english-language open-access journal published by IOP Publishing in United Kingdom, operating under an open-access model since 2025. The journal covers Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware and Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software.
Authors are required to pay an article processing charge to publish in Machine Learning. Engineering; refer to the journal's APC page for the current rate. A waiver policy is offered for eligible authors. Articles are released under the CC BY license (see other journals using this license).
To date, Machine Learning. Engineering has published 29 articles. Articles are minted with DOIs through the prefix 10.1088. All submissions undergo plagiarism screening before peer review.
Keywords
machine learning, artificial intelligence, robotics and automation, computer vision, cyber‑physical systems and iot, signal processing and control
At a glance
- Publisher
- IOP Publishing
- Country
- United Kingdom
- Primary language
- English
- License
- CC BY
- Peer review
- Anonymous peer review, Double anonymous peer review
- OA since
- 2025
- Review time
- 24 weeks
- DOI prefix
10.1088- Plagiarism check
- Yes
ISSN
- electronic
- 3049-4761
Frequently asked questions
Is Machine Learning. Engineering peer-reviewed?
Does Machine Learning. Engineering charge an article processing charge (APC)?
What subjects does Machine Learning. Engineering publish?
What languages does Machine Learning. Engineering accept?
What is the ISSN of Machine Learning. Engineering?
3049-4761 (electronic).