Zobrazeno 1 - 10
of 17 399
pro vyhledávání: '"Sharaf AS"'
Autor:
Wang, Xuesong, Magableh, Sharaf K., Dawaghreh, Oraib, Wang, Caisheng, Gong, Jiaxuan, Zhao, Zhongyang, Liao, Michael H.
Virtual bidding plays an important role in two-settlement electric power markets, as it can reduce discrepancies between day-ahead and real-time markets. Renewable energy penetration increases volatility in electricity prices, making accurate forecas
Externí odkaz:
http://arxiv.org/abs/2412.00062
Autor:
Wang, Xuesong, Yuan, Shuo, Magableh, Sharaf K., Dawaghreh, Oraib, Wang, Caisheng, Wang, Le Yi
The increasing frequency of extreme weather events poses significant risks to power distribution systems, leading to widespread outages and severe economic and social consequences. This paper presents a novel simulation framework for assessing and en
Externí odkaz:
http://arxiv.org/abs/2411.16909
We apply the Hulth\`en-Kohn method suggested by V. D. Efros [Phys. Rev. C 99, 034620 (2019)] for calculating various observables in the continuum and discrete spectrum using two-body interactions in single- and coupled-channel systems. This method is
Externí odkaz:
http://arxiv.org/abs/2408.05656
Autor:
Banagl, Markus, Sharaf, Shahryar Ghaed
There exist several homology theories for singular spaces that satisfy generalized Poincar\'e duality, including Goresky-MacPherson's intersection homology, Cheeger's $L^2$ cohomology and the homology of intersection spaces. The intersection homology
Externí odkaz:
http://arxiv.org/abs/2406.01366
Autor:
Xu, Haoran, Sharaf, Amr, Chen, Yunmo, Tan, Weiting, Shen, Lingfeng, Van Durme, Benjamin, Murray, Kenton, Kim, Young Jin
Moderate-sized large language models (LLMs) -- those with 7B or 13B parameters -- exhibit promising machine translation (MT) performance. However, even the top-performing 13B LLM-based translation models, like ALMA, does not match the performance of
Externí odkaz:
http://arxiv.org/abs/2401.08417
In insight recommendation systems, obtaining timely and high-quality recommended visual analytics over incomplete data is challenging due to the difficulties in cleaning and processing such data. Failing to address data incompleteness results in dimi
Externí odkaz:
http://arxiv.org/abs/2311.07926
Autor:
Sharaf, Shyni, Anoop, V. S.
This paper conducts a comprehensive investigation into applying large language models, particularly on BioBERT, in healthcare. It begins with thoroughly examining previous natural language processing (NLP) approaches in healthcare, shedding light on
Externí odkaz:
http://arxiv.org/abs/2310.07282
Autor:
Zakaria Lammouchi, Chouaib Labiod, Kamel Srairi, Mohamed Benbouzid, Abderrahmane Khechekhouche, Fahad Albalawi, Sherif S. M. Ghoneim, Enas Ali, Ahmed B. Abou Sharaf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The application of Model-Free Predictive Control (MFPC) in power electronic systems has garnered increasing attention. In this paper, MFPC control based on replacing the classical factory model with an ultra-local model (ULM) is studied. Gen
Externí odkaz:
https://doaj.org/article/1ad1807c60bc42c0a757c28efe60babe
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract Coral reef ecosystems are under threat from climate change. Thus, active interventions to spur coral conservation/restoration are critical to support reef survival, greatly informed by a molecular understanding of resilience. The genus Acrop
Externí odkaz:
https://doaj.org/article/6c26bd79198f4ee991b9f977adc6c4c0
Autor:
Mahmoud Ragab, Iyad Katib, Sanaa A. Sharaf, Hassan A. Alterazi, Alanoud Subahi, Sana G. Alattas, Sami Saeed Binyamin, Jaber Alyami
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Brain tumours (BT) affect human health owing to their location. Artificial intelligence (AI) is intended to assist in diagnosing and treating complex diseases by combining technologies like deep learning (DL), big data analytics, and machine
Externí odkaz:
https://doaj.org/article/34c428a3b2e044a98de447c8362408cb