Machine Learning Research
for a Smarter Future
Advancing high-quality research in machine learning, artificial intelligence and intelligent computational technologies.
EDITOR'S CHOICE
A Cross-Domain Transfer Learning Framework for Robust Plant Disease Identification from Leaf Imagery
Kamal Kumar Srivastava, Choo Wou Onn, Vivek Kumar, Sameerchand Pudaruth, Suman Kumar Mishra
Advancing high-quality research in machine learning, artificial intelligence and intelligent computational technologies.
Discover highly cited research published in SIJML.
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.




