Zobrazeno 1 - 10
of 6 051
pro vyhledávání: '"El-Kenawy A"'
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
Autor:
Sergio M. Vicente-Serrano, Santiago Beguería, Miquel Tomas-Burguera, Luis Gimeno, Raquel Nieto, Luis Gimeno-Sotelo, Ahmed El Kenawy
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-8 (2024)
Abstract Drought is one of the most damaging hydroclimatic hazards, impacting environmental systems and socioeconomic sectors. Therefore, understanding the physical mechanisms that cause drought events is of critical importance. Here we investigate t
Externí odkaz:
https://doaj.org/article/c062950d0fe5407c86e9e05f2b556209
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
Autor:
Bilel Zerouali, Nadjem Bailek, Aqil Tariq, Alban Kuriqi, Mawloud Guermoui, Amal H. Alharbi, Doaa Sami Khafaga, El-Sayed M. El-kenawy
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The evaluation of slope stability is of crucial importance in geotechnical engineering and has significant implications for infrastructure safety, natural hazard mitigation, and environmental protection. This study aimed to identify the most
Externí odkaz:
https://doaj.org/article/15f138912edb4d6dbf12aaf957cd28da
Autor:
Shahid Mahmood, Huaping Sun, El-Sayed M. El-kenawy, Asifa Iqbal, Amal H. Alharbi, Doaa Sami Khafaga
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract A green building (GB) is a design idea that integrates environmentally conscious technology and sustainable procedures throughout the building’s life cycle. However, because different green requirements and performances are integrated into
Externí odkaz:
https://doaj.org/article/a4486724d0eb49da994c87021d34cfee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Green building (GB) techniques are essential for reducing energy waste in the construction sector, which accounts for almost 40% of global energy consumption. Despite their importance, challenges such as occupant behavior and energy manageme
Externí odkaz:
https://doaj.org/article/9b525d48a78f42ce821dcb8fef986987
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Balancing various objectives and navigating uncertainties, reducing CO2 emissions and enhancing energy efficiency in industry presents a complex challenge. While previous studies primarily focused on conventional optimization methods, this research i
Externí odkaz:
https://doaj.org/article/7313582e1473466fb2cfdf45083fd0cb
Autor:
Fayssal Mekaret, Abdelaziz Rabehi, Baya Zebentout, Shahrazade Tizi, Abdelmalek Douara, Stefano Bellucci, Mawloud Guermoui, Zineb Benamara, El-Sayed M. El-kenawy, Marwa M. Eid, Amel Ali Alhussan
Publikováno v:
AIP Advances, Vol 14, Iss 11, Pp 115302-115302-14 (2024)
This study undertakes a comparative analysis of Schottky diodes using three prominent SiC polytypes (3C, 4H, and 6H). The comparison involves meticulous calculations of the Schottky barrier resulting from the metal/SiC interface for each polytype ass
Externí odkaz:
https://doaj.org/article/a401f13388844484ab28491f3c56d026
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/2e53c13f0f99486c89ac977ada3775c8