Artificial intelligence and machine learning are among the most submitted topics at JOIREM. We welcome applied and theoretical work, from student projects to scholar research.
Papers get a review decision within 24 hours and are published in the current monthly issue, with an optional DOI.
AI and data science topics we publish
- Machine learning and deep learning models
- Natural language processing and large language models
- Computer vision, object detection and medical imaging
- Data science, analytics and prediction systems
- Recommendation systems and chatbots
- AI in healthcare, agriculture, finance and education
What reviewers look for in ML papers
- A clearly described dataset (source, size, preprocessing)
- Model architecture and training settings
- Evaluation metrics such as accuracy, precision, recall and F1
- Comparison with baseline or existing models
Frequently asked questions
Can I publish a paper using a public dataset like Kaggle?
Yes, as long as you cite the dataset and your paper adds your own analysis, model or comparison.
Do you publish review papers on AI?
Yes. Well-structured survey and review papers are accepted.
