Zobrazeno 1 - 10
of 4 844
pro vyhledávání: '"Abduljabbar AS"'
Autor:
Anthony, Quentin, Michalowicz, Benjamin, Hatef, Jacob, Xu, Lang, Abduljabbar, Mustafa, Shafi, Aamir, Subramoni, Hari, Panda, Dhabaleswar
Deep learning (DL) models based on the transformer architecture have revolutionized many DL applications such as large language models (LLMs), vision transformers, audio generation, and time series prediction. Much of this progress has been fueled by
Externí odkaz:
http://arxiv.org/abs/2408.10197
Autor:
Gochoo, Munkhjargal, Otgonbold, Munkh-Erdene, Ganbold, Erkhembayar, Hsieh, Jun-Wei, Chang, Ming-Ching, Chen, Ping-Yang, Dorj, Byambaa, Jassmi, Hamad Al, Batnasan, Ganzorig, Alnajjar, Fady, Abduljabbar, Mohammed, Lin, Fang-Pang
With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras. Fisheye lens provides omnidirectional wide coverage for using fewer cameras to monitor road intersections, however with vie
Externí odkaz:
http://arxiv.org/abs/2305.17449
Autor:
Yasser A. El-Amier, Balsam T. Abduljabbar, Mustafa M. El-Zayat, Tushar C. Sarker, Ahmed M. Abd-ElGawad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Since the beginning of humanity, people have used wild medicinal plants for the treatment of various diseases. Nowadays, researchers and scientists pay attention to exploring new tools to maximize the efficacy of natural products from natura
Externí odkaz:
https://doaj.org/article/b775e4726c1645eba16fa5515f08460c
Autor:
Mariam Sultana, Muhammad Waqar, Ali Hasan Ali, Alina Alb Lupaş, F. Ghanim, Zaid Ameen Abduljabbar
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 26649-26670 (2024)
This research introduced a new method, the Aboodh Tamimi Ansari transform method ($ (AT)^2 $ method), for solving systems of linear and nonlinear fractional partial differential equations. The method combined the Aboodh transform method and the Tamim
Externí odkaz:
https://doaj.org/article/017f252cc6704e6f8e03209271a29b51
Autor:
Anthony, Quentin, Awan, Ammar Ahmad, Rasley, Jeff, He, Yuxiong, Shafi, Aamir, Abduljabbar, Mustafa, Subramoni, Hari, Panda, Dhabaleswar
In recent years, the training requirements of many state-of-the-art Deep Learning (DL) models have scaled beyond the compute and memory capabilities of a single processor, and necessitated distribution among processors. Training such massive models n
Externí odkaz:
http://arxiv.org/abs/2303.08374
Autor:
Ahn, Hyunho, Chen, Tian, Alnaasan, Nawras, Shafi, Aamir, Abduljabbar, Mustafa, Subramoni, Hari, K., Dhabaleswar, Panda
Quantization is a popular technique used in Deep Neural Networks (DNN) inference to reduce the size of models and improve the overall numerical performance by exploiting native hardware. This paper attempts to conduct an elaborate performance charact
Externí odkaz:
http://arxiv.org/abs/2303.05016
Publikováno v:
International Journal of Thermofluids, Vol 24, Iss , Pp 100837- (2024)
This study investigates the complex behavior of Jeffrey nanofluid flow in a porous oscillating microchannel under the influence of magnetohydrodynamic (MHD) effects. The research explores how magnetic field distortions lead to diverse accumulation pa
Externí odkaz:
https://doaj.org/article/30ba902c7b6544a18fae4dee11f1368a
Autor:
Alnemari, Reem M.1 (AUTHOR), Abduljabbar, Maram H.2 (AUTHOR), Althobaiti, Yusuf S.2,3 (AUTHOR), Almutairi, Farooq M.4 (AUTHOR), Aldhafeeri, Muneef M.4 (AUTHOR), Almalki, Atiah H.3,5 (AUTHOR), Ramzy, Sherif6 (AUTHOR) ssherif14@azhar.edu.eg
Publikováno v:
Scientific Reports. 12/30/2024, Vol. 14 Issue 1, p1-10. 10p.
Autor:
Abduljabbar, Maram H.1 (AUTHOR) maram.a@tu.edu.sa
Publikováno v:
Pharmaceuticals (14248247). Dec2024, Vol. 17 Issue 12, p1581. 17p.
Publikováno v:
Pharmacia, Vol 71, Iss , Pp 1-6 (2024)
In this study, data from 171 patients with thalassemia were analyzed. There was high variability in ferritin levels among patients, with a median of 2290 ng/mL. The median Morisky adherence score was 4, and 75% of the patients had low adherence level
Externí odkaz:
https://doaj.org/article/ae4cacb6588143c6a6d606dd71d56918