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pro vyhledávání: '"Alharbi OF"'
Autor:
Dirk J. Blom
Publikováno v:
Global Journal on Quality and Safety in Healthcare, Vol 7, Iss 3, Pp 95-95 (2024)
Externí odkaz:
https://doaj.org/article/f36f26fb772642b48b08a92cb4ca146e
Autor:
Blom DJ; 1Department of Medicine and Cape Heart Institute, University of Cape Town, Cape Town, South Africa.
Publikováno v:
Global journal on quality and safety in healthcare [Glob J Qual Saf Healthc] 2024 Aug 01; Vol. 7 (3), pp. 95. Date of Electronic Publication: 2024 Aug 01 (Print Publication: 2024).
Akademický článek
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We establish interior regularity results for first-order, stationary, local mean-field game (MFG) systems. Specifically, we study solutions of the coupled system consisting of a Hamilton-Jacobi-Bellman equation $H(x, Du, m) = 0$ and a transport equat
Externí odkaz:
http://arxiv.org/abs/2411.15174
We propose a novel approach to effectively detect cloned identities of social-sensor cloud service providers (i.e. social media users) in the face of incomplete non-privacy-sensitive profile data. Named ICD-IPD, the proposed approach first extracts a
Externí odkaz:
http://arxiv.org/abs/2411.01329
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
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