Publication Policies

The International Journal of Research in Machine Learning and Deep Learning (IJRMLDL) follows strict ethical and quality guidelines to maintain the integrity of published research. Below are the core policies governing submissions and publication.

Peer Review Process

All manuscripts undergo a double-blind peer review involving two or more reviewers. Articles are evaluated based on originality, clarity, technical depth, and relevance. Review decisions include: Accept, Minor Revision, Major Revision, or Reject. Typical review time: 4–6 weeks.

Open Access Policy

The journal is fully open access. All published articles are freely accessible without subscription. Authors retain full copyright under the Creative Commons Attribution License.

Plagiarism Policy

All submissions are screened using plagiarism detection tools. The acceptable similarity index is below 15 percent, excluding references. Any form of plagiarism results in rejection or withdrawal.

Article Processing Charges (APC)

There are no submission fees. APCs may apply only after acceptance (optional based on your policy).

Archiving & Indexing

IJRMLDL aims to be indexed in Google Scholar, Scilit, ResearchGate, and CrossRef. Long-term digital preservation ensures that all articles remain accessible.