CS Journals – October University for Modern Sciences and Arts https://stage.msa.edu.eg Established By Dr. Nawal El Degwi in 1996 Sun, 15 Dec 2024 12:50:34 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.2 https://stage.msa.edu.eg/wp-content/uploads/2024/03/cropped-MSA-New-Logo-Small-V-2-removebg-preview-32x32.png CS Journals – October University for Modern Sciences and Arts https://stage.msa.edu.eg 32 32 ABDALLA MOHAMED & ABDULLAH MAGDY https://stage.msa.edu.eg/abdalla-mohamed-abdullah-magdy/ Wed, 12 Apr 2023 12:48:00 +0000 https://msa.edu.eg/msauniversity/?p=34075 MSA University and the Faculty of Computer Science would like to congratulate the Senior Students Abdalla Mohamed Mohialdin and Abdullah Magdy Elbarrany from the Faculty of Computer Science for publishing a scientific paper on their graduation project to a Q3 Journal. The paper was published in the proceedings of International Journal of Advanced Computer Science and Applications (IJACSA) Volume 14 Issue 3.

The paper entitled ” Chicken Behavior Analysis for Surveillance in Poultry Farms ” presents a computer-vision-based system designed to detect and monitor the behaviors of chickens in poultry farms, to ensure the health and welfare of the birds.

IJACSA is a scholarly computer science journal representing the best in research and is indexed in prominent international databases, including Web of Science, and Scopus (Q3).

The paper is now published, and can be viewed here:

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]]> OMAR MAGDY https://stage.msa.edu.eg/omar-magdy/ Wed, 12 Apr 2023 12:47:00 +0000 https://msa.edu.eg/msauniversity/?p=34072 MSA University and the Faculty of Computer Science would like to congratulate the Senior Student from the Faculty of computer science Omar Magdy Tawfik on publishing the first journal in the Faculty of Computer Science, which was published in The Science and Information (SAI) Organization as part of the International Journal of Advanced Computer Science and Applications (IJACSA) Q3 Journal.

The paper entitled “Human Activity Recognition in Car Workshop” proposed a system that extracts worker poses from videos by using pose classification to detect and classify positive and negative worker’s activities in car maintenance centers to measure the performance of the workers to make them more productive.

The journal is now published, and can be viewed here

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