
EDITOR'S CHOICE
Taufiq Khairi Ahmad Khairuddin, Zulkepli Majid, Nurul Alyaa Nisha Kamarudin, Mohd Ali Khameini Ahmad, Abd Manan Samad, Ismail Ma’arof, Shota Shigetomi, Mohammad Izat Emir Zulkifly, Mohd Ridza Mohd Haniffah, Azmil Munif Mohd Bukhari

The Semarak International Journal of Machine Learning (SIJML) is a is a gold open-access, peer reviewed academic journal with the aim to provide an international platform for academic research by publishing original high-quality research and review articles. The journal scope includes but are not limited to data mining, artificial intelligence, natural language processing (NLP), neural networks, software engineering, bioinformatics and their applications in the areas of science and engineering.







Under evaluation by SCOPUS
Semarak International Journal of Machine Learning (SIJML) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Malaysia, Saudi Arabia, Australia, India, Indonesia, Jordan, Oman, United States, Ghana, Mauritius, Japan