Zobrazeno 1 - 10
of 51 574
pro vyhledávání: '"Fawaz AS"'
Autor:
حسن زرنوشه فراها1 zarnooshe@sru.ac.ir, حامد مصطفوی فرد2 h.mostafavifard@vru.ac.ir
Publikováno v:
Studies on Understanding Hadith. Spring/Summer2024, Vol. 10 Issue 2, p138-154. 17p.
Publikováno v:
Childrenswear in Saudi Arabia. 1/18/2024, p1-3. 3p.
Autor:
BITAR, FAWAZ1
Publikováno v:
Vital Speeches of the Day. Jan2021, Vol. 87 Issue 1, p9-12. 4p.
Autor:
Alsahoui, Maan
Publikováno v:
The French Review, 2018 Dec 01. 92(2), 13-25.
Externí odkaz:
https://www.jstor.org/stable/48613334
Autor:
Al-Matrouk, Fawaz
Publikováno v:
Fantasy & Science Fiction. May/Jun2023, Vol. 144 Issue 5/6, p7-20. 14p.
Autor:
Maged Attia
Publikováno v:
Journal of Contemporary Urban Affairs, Vol 5, Iss 1 (2021)
The present study argues that the urban form of affordable housing projects affects safety and security. The study examines the level of safety and security in the Prince Fawaz project proposing recommendations that enhance it. Theories and approache
Externí odkaz:
https://doaj.org/article/f78a589e961f4f538f2b03ae094ed809
Computer vision systems have been deployed in various applications involving biometrics like human faces. These systems can identify social media users, search for missing persons, and verify identity of individuals. While computer vision models are
Externí odkaz:
http://arxiv.org/abs/2407.13922
This study addresses the challenges of energy deficiencies and high impact low probability (HILP) events in modern electrical grids by developing resilient microgrid energy management strategies. It introduces a sliding Model Predictive Control (MPC)
Externí odkaz:
http://arxiv.org/abs/2407.10278
Autor:
Middlehurst, Matthew, Ismail-Fawaz, Ali, Guillaume, Antoine, Holder, Christopher, Rubio, David Guijo, Bulatova, Guzal, Tsaprounis, Leonidas, Mentel, Lukasz, Walter, Martin, Schäfer, Patrick, Bagnall, Anthony
aeon is a unified Python 3 library for all machine learning tasks involving time series. The package contains modules for time series forecasting, classification, extrinsic regression and clustering, as well as a variety of utilities, transformations
Externí odkaz:
http://arxiv.org/abs/2406.14231
Autor:
Tang, Mingwei, Liu, Meng, Li, Hong, Yang, Junjie, Wei, Chenglin, Li, Boyang, Li, Dai, Xu, Rengan, Xu, Yifan, Zhang, Zehua, Wang, Xiangyu, Liu, Linfeng, Xie, Yuelei, Liu, Chengye, Fawaz, Labib, Li, Li, Wang, Hongnan, Zhu, Bill, Reddy, Sri
In recommendation systems, high-quality user embeddings can capture subtle preferences, enable precise similarity calculations, and adapt to changing preferences over time to maintain relevance. The effectiveness of recommendation systems depends on
Externí odkaz:
http://arxiv.org/abs/2406.05898