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.

EVENTS UPDATE

Join us virtually for the Semarak International Research Innovation Symposium V (SIRIS V), hosted by Semarak Ilmu Sdn. Bhd., on 28 August 2025. This exciting event brings together scholars, researchers, and professionals from around the world to share their latest research through submitted manuscripts, fostering intellectual exchange and building valuable academic connections. Whether you are presenting your work or exploring new ideas, SIRIS V offers a unique platform for innovation and collaboration across diverse fields. All presenters are required to submit their full papers before the submission deadline. All submissions will be evaluated by a panel of experts, and the most outstanding innovations will be selected and invited to present physically at Putrajaya, Malaysia on 27th September 2025, where they will compete for the prestigious “Best of the Best” award. Don’t miss this opportunity to engage with the global academic community. Register now to secure your place! 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