Afrah Mahmoud Mousa*

Department of Software Engineering, Bethlehem University, Bethlehem, Palestine

*Corresponding Author: Afrah Mahmoud Mousa, Department of Software Engineering, Bethlehem University, Bethlehem, Palestine.

Received: January 25, 2023; Published: May 06, 2023

Abstract

The subject of random walks of particles is taught in universities and schools in a theoretical manner for several reasons, the most important of which is the lack of sufficient programs to teach such subjects, which makes the process of teaching such subjects a difficult task for teachers, due to the lack of a convenient and appropriate way to reach students with the correct idea of the material Which causes a drop in the educational attainment rates for students in the science courses that contain the subject of the random walks of the particles. In this project, artificial intelligence and machine learning techniques have been used to solve this problem, which uses to help in teaching and studying the subject of particle random walks.

Keywords: Random Walks; Machine Learning; Model; Application

References

1. “Chinese Proverb”.
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Citation

Citation: Afrah Mahmoud Mousa. “Web Application to Generate and Classify Random Walks of The Particles Using Machine Learning". Acta Scientific Computer Sciences 5.6 (2023): 05-08.

Copyright

Copyright: © 2023 Afrah Mahmoud Mousa. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.