Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Vahid Majidnezhad"'
Autor:
Bagher Zarei, Bahman Arasteh, Mehdi Asadi, Vahid Majidnezhad, Saeid Taghavi Afshord, Asgarali Bouyer
Publikováno v:
Complexity, Vol 2024 (2024)
Network analysis involves using graph theory to understand networks. This knowledge is valuable across various disciplines like marketing, management, epidemiology, homeland security, and psychology. An essential task within network analysis is decip
Externí odkaz:
https://doaj.org/article/56ff5b34a3844728a5858fbc805ec415
Publikováno v:
Computing. 105:1523-1546
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12f311454a728176ea24e9e74d9245b8
https://doi.org/10.1007/s00607-023-01157-x
https://doi.org/10.1007/s00607-023-01157-x
Publikováno v:
The Journal of Supercomputing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1ad7afd682029a96c430a7a4b31484f
https://doi.org/10.1007/s11227-023-05401-1
https://doi.org/10.1007/s11227-023-05401-1
Publikováno v:
Computing. 104:1099-1122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8345a9d4a5396e69083b6bbb90b59e06
https://doi.org/10.1007/s00607-021-01033-6
https://doi.org/10.1007/s00607-021-01033-6
Publikováno v:
Soft Computing. 25:8129-8158
Novel metaheuristic algorithms are now considered an appealing collection of methods for solving complex optimization problems, in which the challenging objective is to find a better solution in a shorter computation time. Focusing on the same object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::474e33cfae533a13e4d0e45f2eed7147
https://doi.org/10.1007/s00500-021-05734-0
https://doi.org/10.1007/s00500-021-05734-0
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:1201-1213
Nowadays, efficient solve of optimization problems is a vital challenge, and computational cost in complicated optimization problems is a motivation to use meta-heuristic algorithms. Nature-inspired algorithms have had good results in these problems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::182dc574a08f2ac4d9a0674ceaa08645
https://doi.org/10.1007/s12652-020-02809-y
https://doi.org/10.1007/s12652-020-02809-y
Publikováno v:
Expert Systems with Applications. 208:118188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f833c721db8c908e25bd11121e38fd71
https://doi.org/10.1016/j.eswa.2022.118188
https://doi.org/10.1016/j.eswa.2022.118188
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:3347-3359
Artificial intelligence and machine learning are in widespread use nowadays in order to develop automatic and precise models for different tasks especially in the Internet. In this paper, by the use of machine learning techniques, an intrusion detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e749b22a1dbf8efd2082181b9137450f
https://doi.org/10.1007/s12652-019-01596-5
https://doi.org/10.1007/s12652-019-01596-5
Publikováno v:
Applied Soft Computing. 115:108126
Increasing complexity of real world problems motivated an area to explore efficient optimization methods to solve such problems. Existing optimization algorithms cannot solve all type of problems efficiently (NFL theorem), so new algorithms are propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::678e67709947a05f901b6ff4d1a5fe80
https://doi.org/10.1016/j.asoc.2021.108126
https://doi.org/10.1016/j.asoc.2021.108126
Publikováno v:
Expert Systems with Applications. 186:115854
Community detection is an important step in perceiving network structure and performance for complex network analysis. The rapid growth of network data in recent years has piqued the interest of many researchers in community detection. The majority o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25f4affcd6a5033b158eeece36a99c1b
https://doi.org/10.1016/j.eswa.2021.115854
https://doi.org/10.1016/j.eswa.2021.115854