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.

EVENTS UPDATE


Join us at the 9th International Symposium on Fluid Mechanics and Thermal Sciences (9th-ISFMTS2025), hosted by Semarak Ilmu Sdn. Bhd., on 16th April 2025 at the Everly Hotel, Putrajaya, Malaysia. […] Find out more		 Join us virtually for the Semarak International Research Innovation Symposium IV (SIRIS IV), hosted by Semarak Ilmu Sdn. Bhd., on 30th April 2025. This exciting event will bring together [...] Find out more The primary aim of this conference is to establish itself as the premier annual gathering in the dynamic realms of Applied Science and Engineering, Advanced Technology, Applied Mechanics, Fluid Mechanics, […] Find out more

Current Issue

Vol. 5 No. 1: March (2025)
View Vol. 5 No. 1: March (2025)

EDITOR'S CHOICE

Wildfire Susceptibility Mapping through Machine Learning and Remote Sensing Data with Distance Based Sampling for Fire-Free Points

Nur Hisyam Ramli, Siti Noor Linda Taib, Norazzlina M. Sa’don, Dayangku Salma Awang Ismail, Raudhah Ahmadi, Imtiyaz Akbar Najar, Nazeri Abdul Rahman, Norazlina Bateni, Rosmina Ahmad Bustami, Tarmiji Masron, Jeffry Andhika Putra

Published: 2025-03-20

Articles

  • Wildfire Susceptibility Mapping through Machine Learning and Remote Sensing Data with Distance Based Sampling for Fire-Free Points

    Nur Hisyam Ramli, Siti Noor Linda Taib, Norazzlina M. Sa’don, Dayangku Salma Awang Ismail, Raudhah Ahmadi, Imtiyaz Akbar Najar, Nazeri Abdul Rahman, Norazlina Bateni, Rosmina Ahmad Bustami, Tarmiji Masron, Jeffry Andhika Putra
    1-17
    DOI: https://doi.org/10.37934/sijml.5.1.117

  • Geospatial Customizing Convolutional Neural Network (CNN) Model Application for Stunting in Tasikmalaya, Indonesia

    Muhammad Al-Husaini, Hen Hen Lukmana, Farid Syah Fadillah, Muhammad Adryan Suryaman
    18-26
    DOI: https://doi.org/10.37934/sijml.5.1.1826

  • Bibliometric Analysis Landslide Susceptibility using Artificial Intelligence in Geospatial : A Comprehensive Review

    Syarbaini Ahmad, Rafiza Kasbun, Noor Fadzilah Ab Rahman, Khairil Ashraf Elias, Iksal Yanuarsyah
    27-45
    DOI: https://doi.org/10.37934/sijml.5.1.2745

  • Machine Learning-Based Approach for Filling Gaps in Streamflow Data

    Jing Lin Ng, Aik Hang Chong, Jin Chai Lee, Nur Ilya Farhana Md Noh, Muyideen Abdulkareem, Deprizon Syamsunur, Ramez A. Al-Mansob, Majid Mirzaei, Siaw Yin Thian
    46-63
    DOI: https://doi.org/10.37934/sijml.5.1.4663

  • Olive Leaf Disease Detection using Improvised Machine Learning Techniques

    Qusay Bsoul , Malik Jawarneh
    64-73
    DOI: https://doi.org/10.37934/sijml.5.1.6473

  • A Comparative Analysis of Classification Algorithms on Student Academic Performance

    Tunde Mojeed Adeyanju, Azwa Adbul Aziz, Suhailan Safei
    74-86
    DOI: https://doi.org/10.37934/sijml.5.1.7486
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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;
No APC