International Journal of Artificial Intelligence, Machine Learning and Data Analytics
IJAIMDA
Journal Details
International Journal of Artificial Intelligence, Machine Learning and Data Analytics (IJAIMDA) is a peer-reviewed, open-access scholarly journal established in 2026. The journal publishes original research and review articles in the fields of Artificial Intelligence, Machine Learning, and Data Analytics, with an emphasis on methodological rigor, reproducibility, and practical relevance.
The journal is published biannually, with two issues per year, providing an international platform for researchers, academicians, industry professionals, and practitioners to disseminate significant scientific contributions and foster interdisciplinary collaboration.
Aims and Scope
Scope
The journal invites submissions in, but not limited to, the following areas:
- Artificial Intelligence and Computational Intelligence
- Machine Learning Algorithms and Applications
- Deep Learning and Neural Networks
- Data Science and Big Data Analytics
- Natural Language Processing
- Computer Vision and Pattern Recognition
- Internet of Things (IoT) and Intelligent Systems
- Decision Support Systems and Predictive Analytics
- Robotics and Autonomous Systems
- Ethical, Explainable, and Responsible AI