Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Hamouma, Moumen"'
Publikováno v:
IEEE Access, Vol 11, Pp 61234-61248 (2023)
This paper focuses on limiting misinformation propagation in networks. Its first contribution is introducing the notion of vaccinated observers, which is a node enriched with additional power. Vaccination is adding, locally, a plugin or asking for th
Externí odkaz:
https://doaj.org/article/f4eaed1ccd6f4a1fba7716ed2b271f75
Publikováno v:
IEEE Access, Vol 8, Pp 145242-145255 (2020)
Nowadays, the coronavirus pandemic has and is still causing large numbers of deaths and infected people. Although governments all over the world have taken severe measurements to slow down the virus spreading (e.g., travel restrictions, suspending al
Externí odkaz:
https://doaj.org/article/cb93cb515bc847ac845481e77d5d48bc
Publikováno v:
International Journal of Parallel, Emergent and Distributed Systems. :1-8
Publikováno v:
Revue d'Intelligence Artificielle. 37:53-62
Publikováno v:
Ingénierie des systèmes d information. 28:97-104
Publikováno v:
International Journal of Networked and Distributed Computing.
This paper tackles the asynchronous signature-free Byzantine consensus. One way to circumvent the FLP impossibility result consists in adding a Time-free assumption. This assumption is based on the pattern of messages that are exchanged. In the conte
Publikováno v:
International Journal of Computer Mathematics: Computer Systems Theory. 7:81-94
Autor:
Azizi, Nabil, Ben Othmane, Mohamed, Hamouma, Moumen, Siam, Abderrahim, Haouassi, Hichem, Ledmi, Makhlouf, Hamdi-Cherif, Aboubekeur
Publikováno v:
International Journal of Information Technology; 20240101, Issue: Preprints p1-15, 15p
Autor:
Boussalem, Mohamed, Aitouche, Samia, Hamouma, Moumen, Haouassi, Hichem, Rahab, Hichem, Bekhouche, Abdelaali
Publikováno v:
Revue d'Intelligence Artificielle; Oct2023, Vol. 37 Issue 5, p1147-1158, 12p
Publikováno v:
International Journal of Swarm Intelligence Research. 12:101-124
Association rules are the specific data mining methods aiming to discover explicit relations between the different attributes in a large dataset. However, in reality, several datasets may contain both numeric and categorical attributes. Recently, man