Zobrazeno 1 - 10
of 25 112
pro vyhledávání: '"FATHI, M."'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Planning embankments demands comprehensive studies to select suitable materials, enhance soil stability, ensure optimal performance, and comply with building code requirements and sustainability standards. This study offers an evaluation of
Externí odkaz:
https://doaj.org/article/be16e0920bb04f95ab9421960e5b1e92
Autor:
Beli, I.I., Ali, L.A., Onuoha, C.C., Jasseh, M., Zentar, M., Belakoul, N., Layadi, Y., Deblui, J.A., Fathi, M., Sani, A.H., Adamu, A.G., Mbahi, M.A., Laachfoubi, T., Umar, M.
Publikováno v:
In Global Pediatrics September 2024 9
Publikováno v:
In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1251. Springer, Cham
The production of microchips is a complex and thus well documented process. Therefore, available textual data about the production can be overwhelming in terms of quantity. This affects the visibility and retrieval of a certain piece of information w
Externí odkaz:
http://arxiv.org/abs/2105.05076
Publikováno v:
In Expert Systems With Applications 1 March 2024 237 Part C
Autor:
Abdulrahman Essa Al Lily, Abdelrahim Fathy Ismail, Fathi M. Abunaser, Firass Al-Lami, Ali Khalifa Atwa Abdullatif
Publikováno v:
Humanities & Social Sciences Communications, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract This article explores the research question: ‘What are ChatGPT’s human-like traits as perceived by society?’ Thematic analyses of insights from 452 individuals worldwide yielded two categories of traits. Category 1 entails social trait
Externí odkaz:
https://doaj.org/article/169fc19a1b574a12b616b946f4997367
LSTM or Long Short Term Memory Networks is a specific type of Recurrent Neural Network (RNN) that is very effective in dealing with long sequence data and learning long term dependencies. In this work, we perform sentiment analysis on a GOP Debate Tw
Externí odkaz:
http://arxiv.org/abs/2005.03993
We propose an approach to obtaining explicit estimates on the resolvent of hypocoercive operators by using Schur complements, rather than from an exponential decay of the evolution semigroup combined with a time integral. We present applications to L
Externí odkaz:
http://arxiv.org/abs/2003.00726
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
International Journal of Education & Practice (2311-6897); 2024, Vol. 12 Issue 4, p1301-1318, 18p
Autor:
Akandeh, Atra, Salem, Fathi M.
We have shown previously that our parameter-reduced variants of Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNN) are comparable in performance to the standard LSTM RNN on the MNIST dataset. In this study, we show that this is also the ca
Externí odkaz:
http://arxiv.org/abs/1901.06401