Zobrazeno 1 - 10
of 408 146
pro vyhledávání: '"Omar IF"'
Autor:
Abdalhameed aldmour, Moayad Shaf'ei, Omar Ihmoud, Zaid Ahmad, Omar Ifdielat, Mohammad Sharayah, Abdallah Sharayah, Mohammad Salahaldeen, Salam Daradkeh
Publikováno v:
Radiology Case Reports, Vol 19, Iss 8, Pp 3056-3061 (2024)
Solid pseudopapillary neoplasm of the pancreas is rarely encountered in clinical practice. It is a tumor with a good prognosis and overall curative rates. It primarily affects young females in their twenties. It has characteristic imaging appearances
Externí odkaz:
https://doaj.org/article/1f72c0bc92d54ea78f57694557d4adb1
Publikováno v:
Small Business International Review, Vol 7, Iss 2, p e612 (2023)
With a perspective rooted in the resource-based view (RBV), this study focuses on analysing the configurational interaction of various strategic determinants that influence the export activity intensity of small and medium enterprises (SMEs) in the S
Externí odkaz:
https://doaj.org/article/8f0fe7e597554631b97d41474a8dd561
The telecommunications industry's rapid evolution demands intelligent systems capable of managing complex networks and adapting to emerging technologies. While large language models (LLMs) show promise in addressing these challenges, their deployment
Externí odkaz:
http://arxiv.org/abs/2411.02617
Task-oriented semantic communication systems have emerged as a promising approach to achieving efficient and intelligent data transmission, where only information relevant to a specific task is communicated. However, existing methods struggle to full
Externí odkaz:
http://arxiv.org/abs/2410.22784
Autor:
Ahmed, Fatimaelzahraa Ali, Yousef, Mahmoud, Ahmed, Mariam Ali, Ali, Hasan Omar, Mahboob, Anns, Ali, Hazrat, Shah, Zubair, Aboumarzouk, Omar, Ansari, Abdulla Al, Balakrishnan, Shidin
Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. This systematic review examines 48 studies that and advanced DL methods
Externí odkaz:
http://arxiv.org/abs/2410.07269
In this study, we consider a real-world application of QML techniques to study water quality in the U20A region in Durban, South Africa. Specifically, we applied the quantum support vector classifier (QSVC) and quantum neural network (QNN), and we sh
Externí odkaz:
http://arxiv.org/abs/2411.18141
Autor:
Dale, Nicholas, Ashour, Omar A., Vila, Marc, Regmi, Resham B., Fox, Justin, Johnson, Cameron W., Fedorov, Alexei, Stibor, Alexander, Ghimire, Nirmal J., Griffin, Sinéad M.
Altermagnets are distinguished by their unique spin group symmetries, where spin and spatial symmetries are fully decoupled, resulting in nonrelativistic spin splitting (NRSS) of electronic bands. This phenomenon, unlike conventional spin splitting d
Externí odkaz:
http://arxiv.org/abs/2411.18761
In this paper, we continue the study of some controllability issues for the forward stochastic heat equation with dynamic boundary conditions. The main novelty in the present paper consists of considering only one control without extra forces in the
Externí odkaz:
http://arxiv.org/abs/2411.18501
We derive a fully computable a posteriori error estimator for a Galerkin finite element solution of the wave equation with explicit leapfrog time-stepping. Our discrete formulation accomodates both time evolving meshes and leapfrog based local time-s
Externí odkaz:
http://arxiv.org/abs/2411.16933
Autor:
Ligero, Marta, Lenz, Tim, Wölflein, Georg, Nahhas, Omar S. M. El, Truhn, Daniel, Kather, Jakob Nikolas
To date, the most common approach for radiology deep learning pipelines is the use of end-to-end 3D networks based on models pre-trained on other tasks, followed by fine-tuning on the task at hand. In contrast, adjacent medical fields such as patholo
Externí odkaz:
http://arxiv.org/abs/2411.16803