Deep Learning Under Siege: Identifying Security Vulnerabilities and Risk Mitigation Strategies

Autor: Al-Karaki, Jamal, Khan, Muhammad Al-Zafar, Mohamad, Mostafa, Chowdhury, Dababrata

Publikováno v: Proceedings of the 20th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP) 2024, Matsue Japan

With the rise in the wholesale adoption of Deep Learning (DL) models in nearly all aspects of society, a unique set of challenges is imposed. Primarily centered around the architectures of these models, these risks pose a significant challenge, and a

Externí odkaz: http://arxiv.org/abs/2409.09517

The role of oxygen regulation and algal growth parameters in hydrogen production via biophotolysis

Autor: Javed, Muhammad Asad, Zafar, Abdul Mannan, Aly Hassan, Ashraf, Zaidi, Asad A., Farooq, Muhammad, El Badawy, Amro, Lundquist, Tryg, Mohamed, Mohamad Mostafa Ahmed, Al-Zuhair, Sulaiman

Publikováno v: In Journal of Environmental Chemical Engineering February 2022 10(1)

Unobtrusive human activity classification based on combined time‐range and time‐frequency domain signatures using ultrawideband radar

Autor: Mohamad Mostafa, Somayyeh Chamaani

Publikováno v: IET Signal Processing, Vol 15, Iss 8, Pp 543-561 (2021)

Abstract In this proposed approach to unobtrusive human activity classification, a two‐stage machine learning–based algorithm was applied to backscattered ultrawideband radar signals. First, a preprocessing step was applied for noise and clutter

Externí odkaz: https://doaj.org/article/e46a7880ba9843adaa72e1bd1153f43d

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Clinical and Microbiological Evaluation of Smartprep Burs in Caries Removal in Primary Teeth

Autor: Asmaa Faiek, Mohamad Mostafa, Samy Al-Bauomy

Publikováno v: Al-Azhar Journal of Dentistry. 10

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ca55b5797281a2d5b4a0eaa6ffcee3a
https://doi.org/10.58675/2974-4164.1516