Zobrazeno 1 - 10
of 3 423
pro vyhledávání: '"Alsafadi A"'
The confluence of ultrafast computers with large memory, rapid progress in Machine Learning (ML) algorithms, and the availability of large datasets place multiple engineering fields at the threshold of dramatic progress. However, a unique challenge i
Externí odkaz:
http://arxiv.org/abs/2410.19063
Deep generative models (DGMs) have proven to be powerful in generating realistic data samples. Their capability to learn the underlying distribution of a dataset enable them to generate synthetic data samples that closely resemble the original traini
Externí odkaz:
http://arxiv.org/abs/2409.05790
The development of Crud-Induced Power Shift (CIPS) is an operational challenge in Pressurized Water Reactors that is due to the development of crud on the fuel rod cladding. The available predictive tools developed previously, usually based on fundam
Externí odkaz:
http://arxiv.org/abs/2407.04726
Publikováno v:
Kybernetes, 2023, Vol. 53, Issue 11, pp. 4051-4073.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-11-2022-1540
Autor:
Alsafadi, Tariq1 (AUTHOR) tasafadi@hotmail.com, Albaloushi, Mohammad Hakim2 (AUTHOR), Alsafadi, Faris Tariq3 (AUTHOR), Jarrada, Shadi4 (AUTHOR), Alshoibi, Jamal4 (AUTHOR)
Publikováno v:
Journal of Clinical Neonatology. Jul-Sep2024, Vol. 13 Issue 3, p80-83. 4p.
Autor:
Alsafadi, Farah, Wu, Xu
Deep learning (DL) has achieved remarkable successes in many disciplines such as computer vision and natural language processing due to the availability of ``big data''. However, such success cannot be easily replicated in many nuclear engineering pr
Externí odkaz:
http://arxiv.org/abs/2308.10120
Autor:
Hazem Ghassan Abdo, Dinesh Kumar Vishwakarma, Karam Alsafadi, Ahmed Ali Bindajam, Javed Mallick, Suraj Kumar Mallick, Karikkathil C. Arun Kumar, Jasem A. Albanai, Alban Kuriqi, Artan Hysa
Publikováno v:
Applied Water Science, Vol 14, Iss 7, Pp 1-19 (2024)
Abstract In light of population growth and climate change, groundwater is one of the most important water resources globally. Groundwater is crucial for sustaining many vital sectors in Syria, including industrial and agricultural sectors. However, g
Externí odkaz:
https://doaj.org/article/05ad9a9784f34214a9993f76b3660189
Autor:
David Rombaut, Carine Lefèvre, Tony Rached, Sabrina Bondu, Anne Letessier, Raphael M. Mangione, Batoul Farhat, Auriane Lesieur-Pasquier, Daisy Castillo-Guzman, Ismael Boussaid, Chloé Friedrich, Aurore Tourville, Magali De Carvalho, Françoise Levavasseur, Marjorie Leduc, Morgane Le Gall, Sarah Battault, Marie Temple, Alexandre Houy, Didier Bouscary, Lise Willems, Sophie Park, Sophie Raynaud, Thomas Cluzeau, Emmanuelle Clappier, Pierre Fenaux, Lionel Adès, Raphael Margueron, Michel Wassef, Samar Alsafadi, Nicolas Chapuis, Olivier Kosmider, Eric Solary, Angelos Constantinou, Marc-Henri Stern, Nathalie Droin, Benoit Palancade, Benoit Miotto, Frédéric Chédin, Michaela Fontenay
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Myelodysplastic syndromes (MDS) with mutated SF3B1 gene present features including a favourable outcome distinct from MDS with mutations in other splicing factor genes SRSF2 or U2AF1. Molecular bases of these divergences are poorly understoo
Externí odkaz:
https://doaj.org/article/123566d884df484c9b7e6a5d549470f7
Autor:
Elise Dumas, Beatriz Grandal Rejo, Paul Gougis, Sophie Houzard, Judith Abécassis, Floriane Jochum, Benjamin Marande, Annabelle Ballesta, Elaine Del Nery, Thierry Dubois, Samar Alsafadi, Bernard Asselain, Aurélien Latouche, Marc Espie, Enora Laas, Florence Coussy, Clémentine Bouchez, Jean-Yves Pierga, Christine Le Bihan-Benjamin, Philippe-Jean Bousquet, Judicaël Hotton, Chloé-Agathe Azencott, Fabien Reyal, Anne-Sophie Hamy
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Between 30% and 70% of patients with breast cancer have pre-existing chronic conditions, and more than half are on long-term non-cancer medication at the time of diagnosis. Preliminary epidemiological evidence suggests that some non-cancer m
Externí odkaz:
https://doaj.org/article/ef9fd876d61b484797a07b0a5cc370ea
Autor:
Alsafadi, Karam1 (AUTHOR) karam.alsafadi@xmu.edu.cn, Bashir, Bashar2 (AUTHOR) bbashir@ksu.edu.sa, Mohammed, Safwan3,4 (AUTHOR) safwan@agr.unideb.hu, Abdo, Hazem Ghassan5 (AUTHOR) hazemabdo@tartous-univ.edu.sy, Mokhtar, Ali6,7 (AUTHOR), Alsalman, Abdullah2 (AUTHOR) asalman@ksu.edu.sa, Cao, Wenzhi1 (AUTHOR) wzcao@xmu.edu.cn
Publikováno v:
Remote Sensing. Apr2024, Vol. 16 Issue 7, p1179. 27p.