About the Journal

About the Journal

International Journal of AI, Machine Learning & Data Science (IJAIMLDS) is a peer-reviewed, open access journal dedicated to advancing research in artificial intelligence (AI), machine learning (ML), and data science. The journal provides a high-quality platform for researchers, practitioners, and academics to publish innovative, impactful work that contributes to the development and understanding of intelligent systems and data-driven methodologies.

Focus and Scope

IJAIMLDS welcomes submissions from all areas of AI, ML, and data science, including but not limited to:

  • Deep learning architectures and algorithms
  • Machine learning theory and applications
  • Big data analytics and data mining
  • Natural language processing (NLP)
  • Computer vision and pattern recognition
  • Explainable AI, fairness, and ethics in AI
  • Reinforcement learning and autonomous systems
  • Data science methodologies and reproducible research
  • AI applications in healthcare, finance, education, and industry

Article types: Research Articles, Review Articles, Short Communications, Technical Notes.

Open Access Policy

IJAIMLDS is a fully open access journal. All published articles will be freely available to read, download, and share without subscription or access fees. Content will be published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Authors retain copyright.

Article Processing Charges (APCs)

IJAIMLDS does not charge authors any submission fees or article processing charges (APCs). Publishing in the journal is completely free for authors.

Peer Review Process

The journal follows a double-blind peer review process:

  1. Initial editorial screening for scope, quality, and plagiarism
  2. Assignment to a handling editor
  3. Assessment by two independent expert reviewers
  4. Author revisions (if required)
  5. Final editorial decision

All reviews are confidential; reviewers must declare conflicts of interest.

Publication Ethics

IJAIMLDS adheres to the standards recommended by the Committee on Publication Ethics (COPE). Authors, reviewers, and editors are expected to follow ethical best practices: avoid plagiarism, report results transparently, disclose conflicts of interest, and secure appropriate ethical approvals for human/animal research. Allegations of misconduct will be investigated according to COPE procedures and may result in correction or retraction.

Archiving and Digital Preservation

IJAIMLDS is committed to long-term preservation. The journal intends to join recognized archiving services such as LOCKSS or CLOCKSS upon publishing its first issue. Published content will also be stored on secure publisher servers with regular backups.

Privacy Statement

The journal respects the privacy of authors, reviewers, and readers. Personal data collected via this site will be used only for journal administration and will not be shared with third parties except as required for publication or indexing.

ISSN

The journal’s ISSN application will be submitted once the first issue is prepared. The assigned ISSN will be displayed here when available.

About the Publisher

Scholio Research publishes IJAIMLDS and supports transparent, ethical, and accessible scholarly communication.