Projects per year
Personal profile
Research Interests
هندسة الحاسب الآلي والشبكات
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Phd علوم الحاسب الالي-جامعة بانونيا
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Dive into the research topics where Metwally Rashad Alseedy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 2 Finished
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2024/02/30659: The Impact of Digitalization, Artificial Intelligence, and Cyber Warfare on the Human Environment During Armed Conflicts
Rashad Alseedy, M. (PI)
30/07/24 → 30/07/25
Project: Research
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An improved human evolutionary optimization algorithm for maximizing green hydrogen generation in intelligent energy management system (IEMS)
Rashad, M., Abdellatif, M. S. & Rabie, A. H., Sep 2025, In: Results in Engineering. 27, 105998.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
HFSA: hybrid feature selection approach to improve medical diagnostic system
Rabie, A. H., Aldawsari, M., Saleh, A. I., Saraya, M. S. & Rashad, M., 2025, In: PeerJ Computer Science. 11, e2764.Research output: Contribution to journal › Article › peer-review
Open Access -
A deep audio-visual model for efficient dynamic video summarization
El-Nagar, G., El-Sawy, A. & Rashad, M., Apr 2024, In: Journal of Visual Communication and Image Representation. 100, 104130.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
CCNN-SVM: Automated Model for Emotion Recognition Based on Custom Convolutional Neural Networks with SVM
Rashad, M., Alebiary, D. M., Aldawsari, M., El-Sawy, A. A. & AbuEl-Atta, A. H., Jul 2024, In: Information (Switzerland). 15, 7, 384.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
FERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks
Rashad, M., Alebiary, D., Aldawsari, M., Elsawy, A. & AbuEl-Atta, A. H., 2024, In: PeerJ Computer Science. 10, e2272.Research output: Contribution to journal › Article › peer-review
Open Access