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15 Aug

MSA University Launches the Arabic Version of Its Official Website

October University for Modern Sciences and Arts (MSA) is pleased to announce the launch of the Arabic version of its official website, as part of the University’s ongoing commitment to enhancing its digital presence and delivering an accessible, user-friendly experience for Arabic-speaking audiences.

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NADEEN AMGAD, MARIAM AHMED; HAIDY HAITHAM; MOAMEN ZAHER; AMMAR MOHAMMED

Let determination be your compass on the road to achievement.

MSA University and the Faculty of Computer Science would like to congratulate the students and staff members: Nadeen Amgad, Mariam Ahmed; Haidy Haitham; Moamen Zaher; Ammar Mohammed for publishing a scientific paper to the IEEE Xplore as part of the 2023 Intelligent Methods, Systems, and Applications (IMSA) proceedings.

The paper entitled ‘A Robust Ensemble Deep Learning Approach for Breast Cancer Diagnosis’ embarks on a comprehensive exploration of ensemble deep learning techniques to improve the performance of breast cancer classification models. Their primary objective was to leverage the power of pre-trained models and elevate their capabilities through the application of ensemble and meta-learning techniques.

We invite you to explore the full paper by following the button below:

Congratulations to our remarkable students and staff members


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