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pro vyhledávání: '"ALI, Hassan"'
Recent works have shown that Federated Learning (FL) is vulnerable to backdoor attacks. Existing defenses cluster submitted updates from clients and select the best cluster for aggregation. However, they often rely on unrealistic assumptions regardin
Externí odkaz:
http://arxiv.org/abs/2410.11205
This paper investigates various methods of representing 3D rotations and their impact on the learning process of deep neural networks. We evaluated the performance of ResNet18 networks for 3D rotation estimation using several rotation representations
Externí odkaz:
http://arxiv.org/abs/2410.10350
Autor:
Pathmanathan, Dharini, Dabo, Issa-Mbenard, Khoo, Tzung Hsuen, Ali-Hassan, Alaa, Dabo-Niang, Sophie
In this article, we present the bivariate and multivariate functional Moran's I statistics and multivariate functional areal spatial principal component analysis (mfasPCA). These methods are the first of their kind in the field of multivariate areal
Externí odkaz:
http://arxiv.org/abs/2408.08630
Autor:
Ali, Hassan, Allgeuer, Philipp, Mazzola, Carlo, Belgiovine, Giulia, Kaplan, Burak Can, Gajdošech, Lukáš, Wermter, Stefan
Large Language Models (LLMs) have been recently used in robot applications for grounding LLM common-sense reasoning with the robot's perception and physical abilities. In humanoid robots, memory also plays a critical role in fostering real-world embo
Externí odkaz:
http://arxiv.org/abs/2407.13505
Publikováno v:
International Conference on Artificial Neural Networks, Sep 2024 (pp. 306-321)
We investigate the use of Large Language Models (LLMs) to equip neural robotic agents with human-like social and cognitive competencies, for the purpose of open-ended human-robot conversation and collaboration. We introduce a modular and extensible m
Externí odkaz:
http://arxiv.org/abs/2407.00518
Human intention-based systems enable robots to perceive and interpret user actions to interact with humans and adapt to their behavior proactively. Therefore, intention prediction is pivotal in creating a natural interaction with social robots in hum
Externí odkaz:
http://arxiv.org/abs/2404.08424
Autor:
Mazen, Bataa Sayed Mohamed, Ismail, Badawi Mohamed, Ali Hassan, Rushdya Rabee, Ali, Mahmoud, Mohamed, Wael S.
Publikováno v:
Pigment & Resin Technology, 2024, Vol. 54, Issue 2, pp. 224-239.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PRT-12-2023-0123
Autor:
Mostafa Hossam‐Eldin Moawad, Ibrahim Serag, Mahmoud Mohamed Shalaby, Mohamed Smail Aissani, Mohammed Ahmed Sadeq, Nada Ibrahim Hendi, Bashaer Elawfi, Reem Mohamed Farouk Ghorab, Naydeen Mostafa, Nancy Ibrahim, Hasnaa Ali Hassan Abdelrhem, Ahmed Hassan A. Rady, Muhammad Alkasaby
Publikováno v:
Psychiatric Research and Clinical Practice, Vol 6, Iss 4, Pp 124-133 (2024)
Background Celiac disease (CD) is an autoimmune disorder in which genetically susceptible individuals cannot digest gluten (wheat) and its homologs such as Scalin (rye) and Hordein (barley). Aim This systematic review and meta‐analysis aimed to inv
Externí odkaz:
https://doaj.org/article/d9425919caaf4f43831ee0ef1fac8d33
Publikováno v:
International Journal of Biomedicine, Vol 14, Iss 4, Pp 704-708 (2024)
Background: Lead is a hazardous metal that has a variety of physiological, behavioral, and biochemical impacts on people. Lead poisoning is the most common type of heavy metal poisoning. This work was designed to evaluate ginseng's potential cytoprot
Externí odkaz:
https://doaj.org/article/9d10c9de2d4f47b09d0ab0e2a551594e