Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Chafia Kara-Mohamed"'
Publikováno v:
IEEE Access, Vol 12, Pp 120804-120826 (2024)
The Arabic language role in actual global affairs entails sophisticated natural language processing techniques, especially in text classification. This paper presents Tasneef as a novel hybrid approach to tackle computational challenges by reducing m
Externí odkaz:
https://doaj.org/article/5576875384094dbf94aadb014d5ec671
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy methods used in gene regulatory networks (GRNs) inference. GRNs represent causal relationships between genes that have a direct influence, trough protei
Externí odkaz:
https://doaj.org/article/13dc3549fd414c02a0027171164274bb
Autor:
Ledmi, Makhlouf, Ledmi, Abdeldjalil, Souidi, Mohammed El Habib, Hamdi-Cherif, Aboubekeur, Maarouk, Toufik Messaoud, Hamdi-Cherif, Chafia Kara-Mohamed
Publikováno v:
Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jul2024, Vol. 28 Issue 13/14, p8471-8496, 26p
Akademický článek
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Publikováno v:
2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT).
Autor:
Makhlouf Ledmi, Mohammed El Habib Souidi, Michael Hahsler, Chafia Kara-Mohamed, Abdeldjalil Ledmi
Mining frequent itemsets is an attractive research activity in data mining whose main aim is to provide useful relationships among data. Consequently, several open-source development platforms are continuously developed to facilitate the users' explo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51c026546bb922503aae3ac6ce6fa802
https://doi.org/10.21203/rs.3.rs-1650542/v1
https://doi.org/10.21203/rs.3.rs-1650542/v1
Publikováno v:
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Publikováno v:
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Publikováno v:
2021 International Conference on Engineering and Emerging Technologies (ICEET).
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
The Scientific World Journal
The Scientific World Journal
To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy methods used in gene regulatory networks (GRNs) inference. GRNs represent causal relationships between genes that have a direct influence, trough protei