Zobrazeno 1 - 10
of 435
pro vyhledávání: '"Elsebai"'
Autor:
Islam, Saidul, Elmekki, Hanae, Elsebai, Ahmed, Bentahar, Jamal, Drawel, Najat, Rjoub, Gaith, Pedrycz, Witold
Transformer is a deep neural network that employs a self-attention mechanism to comprehend the contextual relationships within sequential data. Unlike conventional neural networks or updated versions of Recurrent Neural Networks (RNNs) such as Long S
Externí odkaz:
http://arxiv.org/abs/2306.07303
Publikováno v:
Arab Universities Journal of Agricultural Sciences, Vol 20, Iss 1, Pp 15-27 (2012)
Egypt depends on the Nile River as a major source of water, it provides about 76.3% of its water requirements, other water sources provides about 23.7% of total water requirements. Agriculture sector is the main consumer of water in Egypt as it consu
Externí odkaz:
https://doaj.org/article/c6e001cdfb774becac9128bc9092319e
Publikováno v:
Electronic Theses and Dissertations, 2020-
In Florida, a state with significant population growth, it is essential to understand how land use change and transportation interact. Understanding these interactions between land use and transport is useful for transportation planners and land use
Autor:
Islam, Saidul, Elmekki, Hanae, Elsebai, Ahmed, Bentahar, Jamal, Drawel, Nagat, Rjoub, Gaith, Pedrycz, Witold
Publikováno v:
In Expert Systems With Applications 1 May 2024 241
Autor:
Gewanter, Richard M., Sandhu, Jaspreet S., Tin, Amy L., Gross, Jeffrey P., Mazzarella, Kathleen, Urban, Joanne, Elsebai, Natalia, Hopkins, Margaret F., Vickers, Andrew J., Zelefsky, Michael J.
Publikováno v:
In Advances in Radiation Oncology July-August 2023 8(4)
Publikováno v:
Egyptian Poultry Science Journal. Dec2023, Vol. 43 Issue 4, p617-633. 17p.
Publikováno v:
In Journal of Orthopaedics July-August 2022 32:25-30
Autor:
Hammad, Mostafa Elsebai1 (AUTHOR) Most.els.hammad@gmail.com, Fayed, Aly Maher1 (AUTHOR), Ayoub, Mostafa Ahmed1 (AUTHOR), Emran, Ali Mahmoud1 (AUTHOR)
Publikováno v:
BMC Musculoskeletal Disorders. 6/2/2023, Vol. 24 Issue 1, p1-7. 7p.
Autor:
Elsebai, A.
The amount of textual information available electronically has made it difficult for many users to find and access the right information within acceptable time. Research communities in the natural language processing (NLP) field are developing tools
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521502
Autor:
Elsebai, Basant1,2 (AUTHOR), Ghica, Mariana Emilia2,3 (AUTHOR) meghica@eq.uc.pt, Abbas, Mohammed Nooredeen4 (AUTHOR), Brett, Christopher M. A.2 (AUTHOR) meghica@eq.uc.pt
Publikováno v:
Molecules. Mar2023, Vol. 28 Issue 6, p2809. 13p.