Zobrazeno 1 - 10
of 18 005
pro vyhledávání: '"Afifi A"'
Autor:
Al Rayes H, AlOudah N, Alsolaimani R, Alharthi A, Attar M, Daghasi H, Albeity A, Afifi AM, AlQahtani A, Alkaff A, Alkhamesi SM, Elnady B
Publikováno v:
Open Access Rheumatology: Research and Reviews, Vol Volume 16, Pp 31-41 (2024)
Hanan Al Rayes,1 Norah AlOudah,1 Roaa Alsolaimani,2,3 Abdulrahman Alharthi,4 Mohammed Attar,4 Hassan Daghasi,4 Abdurahman Albeity,2 Afnan M Afifi,2 Abdulelah AlQahtani,1 Alya Alkaff,5 Sultan M Alkhamesi,3 Basant Elnady4,6 1Department of Rheumatology,
Externí odkaz:
https://doaj.org/article/b6317b9d442f4016a1264a3393fb4f05
Publikováno v:
BSGF - Earth Sciences Bulletin, Vol 195, p 12 (2024)
We characterize the eastern Red Sea necking crustal domain through its north-south structural and stratigraphic record. Along-strike margin segmentation occurred during rifting (∼28-14 Ma), with tilted blocks filled by siliciclastic sediments struc
Externí odkaz:
https://doaj.org/article/31b70a9cc3e54dc28ae9c28ec52c4fc3
Recent advancements have scaled neural networks to unprecedented sizes, achieving remarkable performance across a wide range of tasks. However, deploying these large-scale models on resource-constrained devices poses significant challenges due to sub
Externí odkaz:
http://arxiv.org/abs/2410.16151
Transformers have emerged as a powerful tool for natural language processing (NLP) and computer vision. Through the attention mechanism, these models have exhibited remarkable performance gains when compared to conventional approaches like recurrent
Externí odkaz:
http://arxiv.org/abs/2407.12638
Publikováno v:
Infection and Drug Resistance, Vol Volume 13, Pp 3469-3484 (2020)
Amany Ibrahim Ammar, 1 Amira Fathy Afifi, 1 Abdallah Essa, 2, 3 Asmaa Galal-Khallaf, 4 Mostafa Mohamed Mokhtar, 5 Somaia Shehab-Eldeen, 2, 3 Amany Ahmed Rady 1 1Department of Medical Parasitology, Faculty of Medicine, Menoufia University, Shebin El K
Externí odkaz:
https://doaj.org/article/ebfe3e7c4777406a82fc85b43e30fe23
Large language models (LLMs) have been effectively used for many computer vision tasks, including image classification. In this paper, we present a simple yet effective approach for zero-shot image classification using multimodal LLMs. By employing m
Externí odkaz:
http://arxiv.org/abs/2405.15668
Modern smartphone camera quality heavily relies on the image signal processor (ISP) to enhance captured raw images, utilizing carefully designed modules to produce final output images encoded in a standard color space (e.g., sRGB). Neural-based end-t
Externí odkaz:
http://arxiv.org/abs/2404.10700
In this letter, we address the problem of re-targeting a commercial under-actuated robotic system to a higher dimensional output task. Commercial platforms are equipped with an on-board low-level internal controller that provides the user some virtua
Externí odkaz:
http://arxiv.org/abs/2403.03117
Autor:
Afifi, Mohamed, ElHelw, Mohamed
Perception is a key element for enabling intelligent autonomous navigation. Understanding the semantics of the surrounding environment and accurate vehicle pose estimation are essential capabilities for autonomous vehicles, including self-driving car
Externí odkaz:
http://arxiv.org/abs/2403.03111
High dynamic range (HDR) imaging involves capturing a series of frames of the same scene, each with different exposure settings, to broaden the dynamic range of light. This can be achieved through burst capturing or using staggered HDR sensors that c
Externí odkaz:
http://arxiv.org/abs/2403.02449