Zobrazeno 1 - 10
of 7 876
pro vyhledávání: '"el Sayed, M"'
Autor:
Eman A. M. Zaghloul, El-Sayed A. Awad, Ibrahim R. Mohamed, Adel M. Abd El-Hameed, Di Feng, El-Sayed M. Desoky, Uthman Balgith Algopishi, Luluah M. Al Masoudi, Ahmed S. Elrys, Betty T. Mathew, Synan F. AbuQamar, Khaled A. El-Tarabily
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Soil alkalinity and salinity are major challenges to wheat production in arid regions. Eco-friendly amendments (organic matter and bio-stimulants) offer promising solutions, but their combined effects are underexplored. This study assessed t
Externí odkaz:
https://doaj.org/article/2fcf17062c9847c4ae20ab2c75d4e8c8
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This article introduces the Modified Al-Biruni Earth Radius (MBER) algorithm, which seeks to improve the precision of categorizing eye states as either open (0) or closed (1). The evaluation of the proposed algorithm was assessed using an av
Externí odkaz:
https://doaj.org/article/08c560415ae8467484d2aa2d17aba9df
Autor:
Sekar Kidambi Raju, Saravanan Natesan, Amal H. Alharbi, Subhash Kannan, Doaa Sami Khafaga, Muthusamy Periyasamy, Marwa M. Eid, El-Sayed M. El-kenawy
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract The research objective in the context of the study relates to the major concern of corrosion affecting the wind turbines in operation to find materials with high durability in relation to environmental conditions of operation, strength, and
Externí odkaz:
https://doaj.org/article/db539948e4f4464295012bc0c5fb1596
Autor:
El-Sayed M. El-kenawy, Amel Ali Alhussan, Doaa Sami Khafaga, Marwa M. Eid, Abdelaziz A. Abdelhamid
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The classification of chronic diseases has been a prominent research focus in public health, extensively leveraging machine learning algorithms. One of these chronic diseases that has significant rates of occurrence all around the world is d
Externí odkaz:
https://doaj.org/article/9142fe721e504717951c1843174acc5b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Lung cancer is an important global health problem, and it is defined by abnormal growth of the cells in the tissues of the lung, mostly leading to significant morbidity and mortality. Its timely identification and correct staging are very im
Externí odkaz:
https://doaj.org/article/ed5028c0026b4bd49dae24e694fbc72e
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow, 2024, Vol. 34, Issue 6, pp. 2321-2344.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/HFF-01-2024-0030
Autor:
Moussa Belletreche, Nadjem Bailek, Mostafa Abotaleb, Kada Bouchouicha, Bilel Zerouali, Mawloud Guermoui, Alban Kuriqi, Amal H. Alharbi, Doaa Sami Khafaga, Mohamed EL-Shimy, El-Sayed M. El-kenawy
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This study introduces an optimized hybrid deep learning approach that leverages meteorological data to improve short-term wind energy forecasting in desert regions. Over a year, various machine learning and deep learning models have been tes
Externí odkaz:
https://doaj.org/article/7fa2f36a9d6f40df86087ed17e1dd392