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Semarak International Journal of Machine Learning
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THE PUBLISHER

"SHARE YOUR KNOWLEDGE FOR A BETTER TOMORROW"

Knowledge has power, but it's much more powerful when it is shared

AIMS AND SCOPE

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.

SUBMISSION

INDEXING AND ABSTRACTING

 





Semarak International Journal of Machine Learning (SIJML) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

 

DISTRIBUTION OF AUTHORS

Malaysia, Saudi Arabia, Australia, India, Indonesia, Jordan, Oman, United States 

Information

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Semarak International Journal of Machine Learning 
ISSN (Online): 3030-5241

Published by: Semarak Ilmu Publishing

SEMARAK ILMU PUBLISHING

NO. 2-1, Jalan Puteri 3A/3,
Bandar Puteri Bangi, 43000 Kajang,
Selangor, MALAYSIA

More information about the publishing system, Platform and Workflow by OJS/PKP.