Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Delel Rhouma"'
Autor:
Wejdan Alshlahy, Delel Rhouma
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102110- (2024)
Detecting misbehavior in social networks is essential for maintaining trust and reliability in online communities. Traditional methods of identification often rely on individual attributes or structural network properties, which may overlook subtle o
Externí odkaz:
https://doaj.org/article/de89305aadad4ce8941ea3505307286e
Autor:
Manal Abdullah Alohali, Nasir Saleem, Delel Rhouma, Mohamed Medani, Hela Elmannai, Sami Bourouis
Publikováno v:
IEEE Access, Vol 12, Pp 146513-146526 (2024)
Speech enhancement (SE) aims to improve the quality and intelligibility of speech signals, particularly in the presence of noise or other distortions, to ensure reliable communication and robust speech recognition. Deep neural networks (DNNs) have sh
Externí odkaz:
https://doaj.org/article/f5715045dd764ffa91fafbb7068aa1a2
Autor:
Norah Alotaibi, Delel Rhouma
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5646-5662 (2022)
The usage of social networks has widely increased in recent years. Humans tend to form groups, in these networks, based on their similar interests. Such groups are known as communities or clusters. Detecting such structure gives us an exceptional und
Externí odkaz:
https://doaj.org/article/189221a669904c54bb45973bf803f86b
Publikováno v:
Computers, Materials & Continua. 75:5871-5886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5fd1bf189e93ea83f3e8c273a33c47d
https://doi.org/10.32604/cmc.2023.035910
https://doi.org/10.32604/cmc.2023.035910
Autor:
Delel Rhouma, Norah Alotaibi
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:5646-5662
Over recent years, the usage of social networks has widely increased. In these networks, humans tend to form groups based o their similar interests. Such groups are known as communities or clusters. Detecting such structure gives us an exceptional un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bcd05b4f89dad15e8c44b55a2970ed5
https://doi.org/10.1016/j.jksuci.2021.08.016
https://doi.org/10.1016/j.jksuci.2021.08.016
Autor:
Lotfi Ben Romdhane, Delel Rhouma
Publikováno v:
Applied Intelligence. 48:3557-3576
The explosive growth of data raised from social networks, hinders researchers from analysing them in a good way. So, is it possible to rapidly “zoom-out” from this huge network while preserving its whole structure? In fact, this technique is name
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ab3e4ec8ba46d1c07387fac0641a06e
https://doi.org/10.1007/s10489-018-1162-x
https://doi.org/10.1007/s10489-018-1162-x
Publikováno v:
Social Network Analysis and Mining. 9
Community detection is an important research area in social networks analysis where we are concerned with discovering the structure of the social network. Detecting communities is of great importance in sociology, biology and computer science, discip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72ba283bd399222d60e49bb0dfed2464
https://doi.org/10.1007/s13278-019-0566-x
https://doi.org/10.1007/s13278-019-0566-x
Autor:
Lotfi Ben Romdhane, Delel Rhouma
Publikováno v:
ICMV
The identification of central nodes has been a key problem in the field of social network analysis. In fact, it is a measure that accounts the popularity or the visibility of an actor within a network. In order to capture this concept, various measur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e30b46dde9fef4eaa52109589fc2d5c0
https://doi.org/10.1117/12.2309872
https://doi.org/10.1117/12.2309872