Zobrazeno 1 - 10
of 33 227
pro vyhledávání: '"Alharbi AN"'
Autor:
Albalawi HB, Hashem F, Alharbi ANJ, Alali NM, Alshehri WMS, Alharfy AAN, Alzahrani AMM, Albalawi NMA, Magliyah MS, Alenezi SH
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 15, Pp 153-159 (2022)
Hani B Albalawi,1 Faris Hashem,1 Amal Nafea J Alharbi,2 Naif M Alali,1 Wejdan Mohammed S Alshehri,2 Abdulrahman Arshed N Alharfy,2 Abdulmajeed Mousa M Alzahrani,2 Nouf Mohammed A Albalawi,2 Moustafa S Magliyah,3 Saad H Alenezi4 1Department of Ophthal
Externí odkaz:
https://doaj.org/article/87bf09f2d77b46af847a0d295d7c1776
Multi-omics data is increasingly being utilized to advance computational methods for cancer classification. However, multi-omics data integration poses significant challenges due to the high dimensionality, data complexity, and distinct characteristi
Externí odkaz:
http://arxiv.org/abs/2410.05325
Autor:
Alharthi, Abdullah, Alqurashi, Ahmed, Alharbi, Turki, Alammar, Mohammed, Aldosari, Nasser, Bouchekara, Houssem, Shaaban, Yusuf, Shahriar, Mohammad Shoaib, Ayidh, Abdulrahman Al
The complex nature of disease mechanisms and the variability of patient symptoms present significant obstacles in developing effective diagnostic tools. Although machine learning has made considerable advances in medical diagnosis, its decision-makin
Externí odkaz:
http://arxiv.org/abs/2409.07347
Autor:
Alharbi, Abdullah S., Albishi, Miqad S., Maksudov, Temur, Alhuwaymel, Tariq F., Aivalioti, Chrysa, AlShebl, Kadi S., Alshamrani, Naif R., Isikgor, Furkan H., Aldosari, Mubarak, Aljomah, Majed M., Petridis, Konstantinos, Anthopoulos, Thomas D., Kakavelakis, George, Alharbi, Essa A.
Ion and metal diffusion in metal halide perovskites, charge-transporting layers, and electrodes are detrimental to the performance and stability of perovskite-based photovoltaic devices. As a result, there is an intense research interest in developin
Externí odkaz:
http://arxiv.org/abs/2407.21662
Publikováno v:
Academia Biology 2(3), pp. 1-14, 2024
The application of machine learning methods to analyze changes in gene expression patterns has recently emerged as a powerful approach in cancer research, enhancing our understanding of the molecular mechanisms underpinning cancer development and pro
Externí odkaz:
http://arxiv.org/abs/2408.17384
Existing visual assistive technologies are built for simple and common use cases, and have few avenues for blind people to customize their functionalities. Drawing from prior work on DIY assistive technology, this paper investigates end-user programm
Externí odkaz:
http://arxiv.org/abs/2408.10499
Autor:
Hijazi, Faris, AlHarbi, Somayah, AlHussein, Abdulaziz, Shairah, Harethah Abu, AlZahrani, Reem, AlShamlan, Hebah, Knio, Omar, Turkiyyah, George
The rapid advancements in Large Language Models (LLMs) have led to significant improvements in various natural language processing tasks. However, the evaluation of LLMs' legal knowledge, particularly in non-English languages such as Arabic, remains
Externí odkaz:
http://arxiv.org/abs/2408.07983
Blind people use artificial intelligence-enabled visual assistance technologies (AI VAT) to gain visual access in their everyday lives, but these technologies are embedded with errors that may be difficult to verify non-visually. Previous studies hav
Externí odkaz:
http://arxiv.org/abs/2408.06546
Autor:
Alshehri, Manal, Alharbi, Ohoud
The integration of Internet of Things (IoT) technologies in agriculture holds promise for transforming farming practices, particularly in the Kingdom of Saudi Arabia (KSA). This study explores the adoption of smart farming practices among KSA farmers
Externí odkaz:
http://arxiv.org/abs/2407.04273
Rendering huge biological scenes with atomistic detail presents a significant challenge in molecular visualization due to the memory limitations inherent in traditional rendering approaches. In this paper, we propose a novel method for the interactiv
Externí odkaz:
http://arxiv.org/abs/2404.05116