Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Alfadly SO"'
Deep neural networks have been critical in the task of Visual Question Answering (VQA), with research traditionally focused on improving model accuracy. Recently, however, there has been a trend towards evaluating the robustness of these models again
Externí odkaz:
http://arxiv.org/abs/2304.03147
Autor:
Alfadly S, Anaam M, Alzunaydi SI, Almutlaq AS, Swidan AM, Alsahali S, Almogbel Y, Alshammari M, Almunef M, Siddeeg K
Publikováno v:
Patient Preference and Adherence, Vol Volume 18, Pp 1451-1461 (2024)
Saeed Alfadly,1,2 Mohammed Anaam,1,3 Sulaiman Ibrahim Alzunaydi,1 Abdulsalam Sulaiman Almutlaq,1 Abdulaziz Mohammed Swidan,1 Saud Alsahali,1 Yasser Almogbel,1 Mohammed Alshammari,4 Mohammed Almunef,1 Khalid Siddeeg1 1Department of Pharmacy Practice,
Externí odkaz:
https://doaj.org/article/4416296ab3dd470786a09aef4a9f4385
The impressive performance of deep neural networks (DNNs) has immensely strengthened the line of research that aims at theoretically analyzing their effectiveness. This has incited research on the reaction of DNNs to noisy input, namely developing ad
Externí odkaz:
http://arxiv.org/abs/2006.11776
Autor:
Kamal A. Qureshi, Adil Parvez, Nada A. Fahmy, Bassant H. Abdel Hady, Shweta Kumar, Anusmita Ganguly, Akhtar Atiya, Gamal O. Elhassan, Saeed O. Alfadly, Seppo Parkkila, Ashok Aspatwar
Publikováno v:
Annals of Medicine, Vol 55, Iss 2 (2023)
AbstractBackground: Brucellosis is a pervasive zoonotic disease caused by various Brucella species. It mainly affects livestock and wildlife and poses significant public health threats, especially in regions with suboptimal hygiene, food safety, and
Externí odkaz:
https://doaj.org/article/d39141371ef042adaefed4206345ae1c
Deep neural networks have been playing an essential role in the task of Visual Question Answering (VQA). Until recently, their accuracy has been the main focus of research. Now there is a trend toward assessing the robustness of these models against
Externí odkaz:
http://arxiv.org/abs/1912.01452
Training Deep Neural Networks that are robust to norm bounded adversarial attacks remains an elusive problem. While exact and inexact verification-based methods are generally too expensive to train large networks, it was demonstrated that bounded inp
Externí odkaz:
http://arxiv.org/abs/1905.12418
Despite the impressive performance of deep neural networks (DNNs) on numerous vision tasks, they still exhibit yet-to-understand uncouth behaviours. One puzzling behaviour is the subtle sensitive reaction of DNNs to various noise attacks. Such a nuis
Externí odkaz:
http://arxiv.org/abs/1904.11005
Autor:
Alian A. Alrasheedy, Mohammed H. Ibrahim, Saud Alsahali, Saeed O. Alfadly, Khalid Siddeeg, Ghada Ben Salah, Lamyaa M. Kassem, Rawan Alsaikhan
Publikováno v:
Saudi Pharmaceutical Journal, Vol 30, Iss 10, Pp 1479-1485 (2022)
Background: Traditionally, graduates from colleges of pharmacy in Saudi Arabia work mainly in hospital settings, and only a few graduates work in other practice settings. However, several initiatives and national plans have recently been introduced t
Externí odkaz:
https://doaj.org/article/558b62b812b1466bb8b6283043386de2
Autor:
Yousif Sareeh Alfadly, Ahmed Thamer
Publikováno v:
التربية الرياضية, Vol 35, Iss 2 (2023)
Swimming is one of the sports with great muscular effort and complex motor performance that requires coordination and harmony between the movements of the parts of the body contributing to performance that defies the limits of humans. The development
Externí odkaz:
https://doaj.org/article/c1f21c2022fc40a6a4a6fa0f3391cb4d
Deep neural networks have been playing an essential role in many computer vision tasks including Visual Question Answering (VQA). Until recently, the study of their accuracy was the main focus of research but now there is a trend toward assessing the
Externí odkaz:
http://arxiv.org/abs/1711.06232