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. 4 No. 1: December (2024)
View Vol. 4 No. 1: December (2024)

EDITOR'S CHOICE

Adaptability of Statistical and Deep Learning Models to Volatile Market Conditions in Bursa Malaysia Stock Index Forecasting
Abang Mohammad Hudzaifah Abang Shakawi, Ani Shabri

Published: 2025-01-03

Articles

  • Application of Different Distance Metrics on K-Means Clustering Algorithm for Retinal Vessel Images

    Nor’ Awatif Amri Muhammad Nazim, Normi Abdul Hadi, Mohd Rijal Ilias, Dian Kurniasari, Suhaila Abd Halim
    14-26
    DOI: https://doi.org/10.37934/sijml.4.1.1426

  • Adaptability of Statistical and Deep Learning Models to Volatile Market Conditions in Bursa Malaysia Stock Index Forecasting

    Abang Mohammad Hudzaifah Abang Shakawi, Ani Shabri
    1-13
    DOI: https://doi.org/10.37934/sijml.4.1.113
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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