Call for Papers – International Journal of Modern Machine Learning (IJMML)

2026-01-12

The International Journal of Modern Machine Learning (IJMML) is pleased to invite researchers, academics, and practitioners to submit high-quality manuscripts for publication.

IJMML is a peer-reviewed, open access journal dedicated to advancing research in modern machine learning and artificial intelligence. The journal provides an international platform for the dissemination of theoretical developments, methodological innovations, and real-world applications of machine learning across diverse domains.

Scope of the Journal includes, but is not limited to:

  • Machine Learning and Artificial Intelligence

  • Deep Learning and Neural Networks

  • Data Science and Advanced Analytics

  • Computer Vision and Multimedia Intelligence

  • Natural Language Processing and Speech Technologies

  • Intelligent Systems and Decision Support

  • Applied and Interdisciplinary Machine Learning (e.g., healthcare, engineering, finance, smart systems)

Types of Submissions

  • Original Research Articles

  • Review Papers

  • Applied Studies and Case Studies

All submissions undergo a rigorous double-blind peer-review process to ensure academic quality, originality, and ethical compliance.

Why Publish with IJMML

  • Open access with no readership barriers

  • International editorial board

  • Transparent and ethical peer-review process

  • Focus on reproducible and impactful research

Authors are invited to submit their manuscripts through the journal’s online submission system. Please ensure that submissions follow the journal’s author guidelines.

For more information, please visit the About the Journal and Author Guidelines sections.