Publisher and Journal Information
Publisher and Journal Information
The Canadian Journal of Machine Learning & Intelligent Transportation (CJMLIT) is an international, peer-reviewed, open-access scholarly journal published by CuspideScience.
Journal Identity
| Journal title | Canadian Journal of Machine Learning & Intelligent Transportation |
|---|---|
| Journal initials | CJMLIT |
| Journal abbreviation | Can. J. Mach. Learn. Intell. Transp. |
| Publication medium | Online |
| Language | English |
| Publication frequency | Semiannual |
Publisher Information
| Publisher | CuspideScience |
|---|---|
| Country | Canada |
| Place of publication | Montréal, Québec, Canada |
| Journal URL | https://cuspidescience.com/index.php/cjmlit/index |
| Publisher website | https://cuspidescience.com |
ISSN Information
| Online ISSN | To be assigned |
|---|---|
| Print ISSN | Not applicable. CJMLIT is an online-only journal. |
Editorial and Publishing Model
CJMLIT publishes original research articles, review articles, data papers, methodological studies, and reproducibility studies in machine learning, intelligent transportation systems, connected mobility, transportation networks, road safety, infrastructure monitoring, and transportation data science.
All research articles submitted to CJMLIT undergo a double-anonymous peer-review process. Each manuscript is evaluated by at least two independent reviewers. The final editorial decision is made by the assigned editor under the oversight of the Editor-in-Chief.
Open Access Policy
CJMLIT provides immediate open access to its published content. Articles are made freely available online to support the global dissemination of scientific knowledge.
Authors retain copyright of their work. Published articles are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), unless otherwise stated.
Article Processing Charges
CJMLIT does not charge any article processing charges, submission fees, editorial processing fees, page charges, or publication fees during the current waiver period.
Article processing charges are waived until January 31, 2027.
Digital Object Identifiers
CJMLIT assigns Digital Object Identifiers (DOIs) to published articles through Crossref. The DOI prefix used by CuspideScience is:
10.65269
Archiving and Preservation
CJMLIT is committed to the long-term availability of its published content. The journal will maintain stable article URLs, persistent metadata, and digital preservation practices appropriate for open-access scholarly publishing.
Contact
For editorial, publishing, and administrative inquiries, please contact:
CJMLIT Editorial Office
CuspideScience
Montréal, Québec, Canada
Email: cjmlit@cuspidescience.com
