Machine Learning Research
for a Smarter Future
Advancing high-quality research in machine learning, artificial intelligence and intelligent computational technologies.
About the Journal
The Semarak International Journal of Machine Learning (SIJML) is an international peer-reviewed journal dedicated to advancing research, innovation, and practical applications in machine learning and artificial intelligence.
The journal provides a platform for researchers, academics, practitioners, and industry professionals to disseminate original research and emerging developments in intelligent computational methods and data-driven technologies.
SIJML welcomes original research articles, review papers, and interdisciplinary studies in areas including, but not limited to:
- Machine Learning and Deep Learning
- Artificial Intelligence and Intelligent Systems
- Neural Networks and Computational Intelligence
- Natural Language Processing
- Computer Vision and Image Processing
- Data Science, Big Data Analytics, and Predictive Modelling
- Generative AI and Large Language Models
- Explainable and Responsible Artificial Intelligence
- Optimization and AI-driven Decision Support
- Robotics and Autonomous Systems
- AI Applications in Engineering, Healthcare, Business, Education, Finance, and other interdisciplinary fields
The journal particularly encourages research that demonstrates methodological innovation, practical relevance, interdisciplinary integration, and meaningful contributions to the advancement and responsible application of intelligent technologies.
