Semarak International Journal of Machine Learning

About the Journal

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.

Current Issue

Vol. 7 No. 1: September (2025)

Published: 2025-10-06

Articles

Strezzlah: An AI-Powered Stress Classification System for University Students using Machine Learning

Haidar Hakimi Mohd Zainee, Noor Latiffah Adam, Shaharuddin Cik Soh

1-8
- Abstract views: 28
- PDF
Artificial Intelligence (AI) Powered Algorithms and Model for Career Guidance System Development and Evaluation

Washington Entsie Sam, Alimatu Saadia Yussiff, Isaac Armah-Mensah, Wan Fatimah Wan Ahmad, Aaron Jon Tetteh, Andrews Ankomahene

9-17
- Abstract views: 30
- PDF

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Publishing Frequency
Quarterly
Publishing Model
Open access
Article Processing Charge (APC)
All articles published in this journal are open access and freely available online, free to download, share and re-use.

The APC charged for accepted articles; RM 250 (~70 USD)