Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lobna M. Abouelmagd"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-13 (2024)
Abstract Nowadays, fingerprints as biometrics are among the most popular means of identity verification for various applications. However, they are susceptible to theft, tampering, or alteration by attackers after storage. Hence, it is critical to gu
Externí odkaz:
https://doaj.org/article/e8ca132ca47349f49d3aeb4473b30faa
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-21 (2024)
Abstract Plant diseases have a significant impact on leaves, with each disease exhibiting specific spots characterized by unique colors and locations. Therefore, it is crucial to develop a method for detecting these diseases based on spot shape, colo
Externí odkaz:
https://doaj.org/article/0657f6310af046d7818d9c854ddd0781
Autor:
Aboul Ella Hassanein, Lobna M. Abouelmagd, Ahmed M. Nosair, Mahmoud Shams, Hend S. Abu Salem, Alan E. Fryar
Publikováno v:
Environmental Science and Pollution Research. 29:9318-9340
To monitor groundwater salinization due to seawater intrusion (SWI) in the aquifer of the eastern Nile Delta, Egypt, we developed a predictive regression model based on an innovative approach using SWI indicators and artificial intelligence (AI) meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::850c003ec2df97666242e8f23b152ab5
https://doi.org/10.1007/s11356-021-16289-w
https://doi.org/10.1007/s11356-021-16289-w
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030911027
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa63062937f047237dc6fa4897e08bff
https://doi.org/10.1007/978-3-030-91103-4_4
https://doi.org/10.1007/978-3-030-91103-4_4
Autor:
Ashraf Darwish, Lobna M. Abouelmagd, Aboul Ella Hassanien, Mahmoud Shams, Mohamed Abd Elfattah, Omar M. Elzeki
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030697167
AMLTA
AMLTA
Recently, the COVID-19 pandemic has an efficient impact on all things around the world. Food estimation or diet has been grown great attention in the recent pandemic. This paper utilizes the Support Vector Machine (SVM) to predict the effect of the C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08aac979f4b3613f73a0aa2a728fcb2d
https://doi.org/10.1007/978-3-030-69717-4_7
https://doi.org/10.1007/978-3-030-69717-4_7