Zobrazeno 1 - 10
of 448
pro vyhledávání: '"Rashad, Mohamed"'
Autoencoders are popular neural networks that are able to compress high dimensional data to extract relevant latent information. TabNet is a state-of-the-art neural network model designed for tabular data that utilizes an autoencoder architecture for
Externí odkaz:
http://arxiv.org/abs/2404.17990
Vast literature has compared the recordings of biological neurons in the brain to deep neural networks. The ultimate goal is to interpret deep networks or to better understand and encode biological neural systems. Recently, there has been a debate on
Externí odkaz:
http://arxiv.org/abs/2402.12519
Autor:
Moustafa Samar, Ali Atif Mossad, Shawaf Jawaher, Al dirham Sharah H., Alqhtani Norah, Al-Ghamdi Salah A., Helali Saloua, Fares Hesham, Rashad Mohamed
Publikováno v:
Nanotechnology Reviews, Vol 13, Iss 1, Pp 31-4 (2024)
In this study, V2O5, 5ZnO/10V2O5, and ZnO, 10ZnO/10V2O5 nanocomposites were synthesized by the sol–gel method. The sol–gel technique is an important process for the fabrication of advanced oxide materials with desirable catalytic, optical, and st
Externí odkaz:
https://doaj.org/article/3ad6fff989d94df3a9b966bff10bc7fe
Autor:
Alaa Rashad Mohamed, Eptehal Mohammed Dongol, Haggagy Mansour Mohamed, Esraa Abd al-Sattar Abd al-Aal Mohamed
Publikováno v:
SVU - International Journal of Medical Sciences, Vol 7, Iss 1, Pp 865-875 (2024)
Background: Hospital-acquired pneumonia (HAP) is a significant concern in ICU patients, with a higher morbidity, decease rate, and increased resource use. Objectives: The study aimed to identify the causative bacteria, antibiotic sensitivity, and re
Externí odkaz:
https://doaj.org/article/b31a884a529b4b33b1a04e658881a305
Autor:
Helali, Saloua1 (AUTHOR) m.ahmad@ut.edu.sa, Rashad, Mohamed1 (AUTHOR) ma.alanazi@ut.edu.sa, Ben Mabrouk, Anouar2 (AUTHOR) amabrouk@ut.edu.sa, Alanazi, Munirah A. A.1 (AUTHOR), Mustafa, Manahil S.3 (AUTHOR) msida@ut.edu.sa
Publikováno v:
Materials (1996-1944). Jun2024, Vol. 17 Issue 12, p2890. 15p.
Autor:
Abu-Saied, M.A., El Desouky, Eman A., Abou Kamer, Mohamed E., Hafez, Mohamed, Rashad, Mohamed
Publikováno v:
In Journal of King Saud University - Science November 2023 35(8)
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:
Egyptian Journal of Medical Research, Vol 3, Iss 4, Pp 274-280 (2022)
Background and objectives: Erectile dysfunction (ED) is the inability to achieve or sustain an erection for satisfactory sexual activity Aim of work: evaluate sexual functions of patients with erectile dysfunction and their female partners across dif
Externí odkaz:
https://doaj.org/article/a1c0dd28fb334e2a92a29dc1aa1b8313
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.