Mahmoud is a PhD researcher in machine learning. He also holds a
bachelor's degree in physical science and a master's degree in
telecommunications and networking systems. His current areas of
research concern computer vision, stock market prediction and deep
learning. He produced several scientific articles about person re-
identification and the study of the robustness and stability of deep
networks.
Fine-grained image categorization delves into distinguishing closely related subclasses within a broader category. For example, instead of merely identifying an image as a "bird,"...
Historically, music has served as a powerful indicator of human artistic endeavor. Currently, the confluence of traditional musical constructs and computational methodologies is particularly...
In the field of image processing, recovering high-definition information from poor facial photographs is still a difficult task. Due to the numerous degradations these...
Over the years, mobile devices have seen significant advancements in functionality and popularity, while security measures have not kept pace. Smartphones now hold immense...
In computer vision, person re-identification is a vital pursuit in today's interconnected world. It involves the challenging task of identifying individuals across different camera...
The emergence of the ability to produce "fake" videos has sparked significant worries regarding the trustworthiness of visual content. Distinguishing between authentic and counterfeit...
Skeleton-based Human Action Recognition is a computer vision field that identifies human actions by analyzing skeletal joint positions from video data. It uses machine...
Automated brain lesion segmentation using convolutional neural networks (CNNs) has become a valuable clinical diagnosis and research tool. However, CNN-based approaches still face challenges...
Machine learning has increased considerably in several areas due to its performance in recent years. Thanks to modern computers' computing capacity and graphics cards,...
Data Science, a promising field that continues to attract more and more companies, is struggling to be integrated into industrialization processes. In most cases,...
Deep learning has significantly advanced face recognition models based on convolutional neural networks. These models have a high accuracy rate and are used in...
ML algorithms have raised privacy and security concerns due to their application in complex and sensitive problems. Research has shown that ML models can...
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