VOLUME CONTENT
SQL Injection Attack Detection using Machine Learning Algorithms
Laila Aburashed, Marah AL Amoush, Wardeh Alrefai
EDITOR'S CHOICE
Delving into the Revolutionary Impact of Artificial Intelligence on Mechanical Systems: a Review
Hashem Shatnawi, Mohammad N. Alqahtani
"SHARE YOUR KNOWLEDGE FOR A BETTER TOMORROW"
Knowledge has power, but it's much more powerful when it is shared
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.
Semarak International Journal of Machine Learning (SIJML) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Malaysia, Saudi Arabia, Australia
