Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Elmarhomy Ghada"'
Autor:
Atlam, El-Sayed a, b, ⁎, Almaliki, Malik a, Elmarhomy, Ghada c, Almars, Abdulqader M. a, Elsiddieg, Awatif M.A. d, ⁎⁎, ElAgamy, Rasha a, b, ⁎
Publikováno v:
In Alexandria Engineering Journal January 2025 111:446-455
Autor:
Alwateer, Majed a, Aljuhani, Khulood O. b, Shaqrah, Amin b, ElAgamy, Rasha a, c, ⁎, Elmarhomy, Ghada b, Atlam, El-Sayed a, c, ⁎
Publikováno v:
In Alexandria Engineering Journal December 2024 109:578-590
Autor:
Farsi, Mohammed a, Hosahalli, Doreswamy b, Manjunatha, B.R. c, Gad, Ibrahim b, d, Atlam, El-Sayed a, d, ⁎, Ahmed, Althobaiti e, Elmarhomy, Ghada a, Elmarhoumy, Mahmoud a, f, Ghoneim, Osama A. g
Publikováno v:
In Alexandria Engineering Journal February 2021 60(1):1299-1316
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:
In Information Processing and Management 2006 42(4):951-962
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ibrahim Gad, Ahmad Reda Alzighaibi, Guesh Dagnew, Zohair Malki, El-Sayed Atlam, Elmarhomy Ghada
Publikováno v:
Computer and Information Science. 13:40
The Residual Long Short Term Memory (LSTM) deep learning approach is attracting attension of many researchers due to its efficiency when trained on high dimensional datasets. Nowadays, Human Activity Recognition (HAR) has come with enormous challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87fdf8ae51d4b5c630828c50ad82d23b
https://doi.org/10.5539/cis.v13n3p40
https://doi.org/10.5539/cis.v13n3p40
Autor:
Malki, Zohair, Atlam, El-Sayed, Ewis, Ashraf, Dagnew, Guesh, Alzighaibi, Ahmad Reda, ELmarhomy, Ghada, Elhosseini, Mostafa A., Hassanien, Aboul Ella, Gad, Ibrahim
Publikováno v:
Neural Computing & Applications; Apr2021, Vol. 33 Issue 7, p2929-2948, 20p
Autor:
Uddin Md. Sharif, Masao Fuketa, Jun-ichi Aoe, Kazuhiro Morita, Elmarhomy Ghada, El-Sayed Atlam
Publikováno v:
Information Processing & Management. 43:1793-1807
Field Association (FA) terms are a limited set of discriminating terms that can specify document fields. Document fields can be decided efficiently if there are many relevant FA terms in that documents. An earlier approach built FA terms dictionary u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6e8519aaacdce8d6f4b873b64c7b41f
https://doi.org/10.1016/j.ipm.2006.12.006
https://doi.org/10.1016/j.ipm.2006.12.006
Publikováno v:
International Journal of Computer Mathematics. 83:247-261
Document classification and summarization are very important for document text retrieval. Generally, humans can recognize fields such as ⟨Sports⟩ or ⟨Politics⟩ based on specific words called Field Association (FA) words in those document fiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fda5537b0825b88d749e88738c0e213
https://doi.org/10.1080/00207160600875234
https://doi.org/10.1080/00207160600875234