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pro vyhledávání: '"Suliman, Mohamed"'
Data forging attacks provide counterfactual proof that a model was trained on a given dataset, when in fact, it was trained on another. These attacks work by forging (replacing) mini-batches with ones containing distinct training examples that produc
Externí odkaz:
http://arxiv.org/abs/2411.05658
This paper introduces GeoMorph, a novel geometric deep-learning framework designed for image registration of cortical surfaces. The registration process consists of two main steps. First, independent feature extraction is performed on each input surf
Externí odkaz:
http://arxiv.org/abs/2311.13022
Autor:
Tilal Elsaman, Magdi Awadalla Mohamed, Malik Suliman Mohamed, Eyman Mohamed Eltayib, Abualgasim Elgaili Abdalla
Publikováno v:
Frontiers in Chemistry, Vol 13 (2025)
IntroductionSince the emergence of Mycobacterium tuberculosis (MBT) strains resistant to most currently used anti-tubercular drugs, there has been an urgent need to develop efficient drugs capable of modulating new therapeutic targets. Mycobacterial
Externí odkaz:
https://doaj.org/article/72c267db85e841aa8e8cc6e3fd8254c1
Autor:
Suliman, Mohamed Faried
Introduction: Clinicians have long been interested in the multitude of differences in the diagnosis, treatment, and the treatment response between the hyperdivergent or dolicofacial types and hypodivergent or brachyfacial types. Since its introductio
Externí odkaz:
http://hdl.handle.net/2263/46128
Autor:
Suliman, Mohamed, Leith, Douglas
In this paper we present new attacks against federated learning when used to train natural language text models. We illustrate the effectiveness of the attacks against the next word prediction model used in Google's GBoard app, a widely used mobile k
Externí odkaz:
http://arxiv.org/abs/2210.16947
Autor:
Saad Suliman, Mohamed a, Farzaneh, Hooman a, b, ⁎
Publikováno v:
In International Journal of Electrical Power and Energy Systems March 2025 164
Cortical surface registration is a fundamental tool for neuroimaging analysis that has been shown to improve the alignment of functional regions relative to volumetric approaches. Classically, image registration is performed by optimizing a complex o
Externí odkaz:
http://arxiv.org/abs/2203.12999
Autor:
Suliman, Mohamed E., Ryu, Kakei, Qureshi, Abdul Rashid, Li, Xiejia, Avesani, Carla Maria, Barany, Peter, Heimbürger, Olof, Stenvinkel, Peter, Lindholm, Bengt
Publikováno v:
In Nutrition September 2024 125
Autor:
Abdullah B. Nasser, Md. Abdul Kader, Abdulrahman A. Alsewari, Suliman Mohamed Fati, Nibras Abdullah, Sayawu Yakubu Diaba, Waheb A. Jabbar
Publikováno v:
IEEE Access, Vol 12, Pp 172992-173009 (2024)
In the realm of software testing, resource limitations pose a significant challenge to ensuring comprehensive testing coverage. While there are numerous attempts to systematically generate test cases that maximize input coverage and fault detection,
Externí odkaz:
https://doaj.org/article/869737aa707f404da80fd6f00ae0f20c