Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bagher Zarei"'
Publikováno v:
IEEE Access, Vol 12, Pp 92892-92905 (2024)
Community detection is crucial for analyzing the structure of social networks and extracting hidden information from them. The goal is to find groups of nodes (communities) with high intra-group and low inter-group communications. This problem is NP-
Externí odkaz:
https://doaj.org/article/544ffad11f4a4ed89956c41c6e360500
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
Autor:
Bahman Arasteh, Parisa Imanzadeh, Keyvan Arasteh, Farhad Soleimanian Gharehchopogh, Bagher Zarei
Publikováno v:
Journal of Electronic Testing. 38:289-302
The effectiveness of software test data relates to the number of found faults by the test data. Software mutation test is used to evaluate the effectiveness of the software test methods and is one of the challenging fields of software engineering. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c2d9e485d0f0f9c86b33286df588c4f
https://doi.org/10.1007/s10836-022-06008-9
https://doi.org/10.1007/s10836-022-06008-9
Publikováno v:
New Generation Computing. 40:285-310
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cc030f8b2acee54396b0277d04ba4aa
https://doi.org/10.1007/s00354-022-00159-1
https://doi.org/10.1007/s00354-022-00159-1
Autor:
Bagher Zarei, Mohammad Reza Meybodi
Publikováno v:
Computational Intelligence. 36:824-860
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb13932059f9b2f87e3ea31d14dfe157
https://doi.org/10.1111/coin.12273
https://doi.org/10.1111/coin.12273
Autor:
Mohammad Reza Meybodi, Bagher Zarei
Publikováno v:
The Journal of Supercomputing. 77:652-678
A learning automaton (LA) can be considered as an abstract system with a finite set of actions. LA operates by choosing an action from the set of its actions and applying it to the stochastic environment. The environment evaluates the chosen action,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3cd52a03219b17749795dd885ea1bef
https://doi.org/10.1007/s11227-020-03293-z
https://doi.org/10.1007/s11227-020-03293-z
Publikováno v:
Chaos (Woodbury, N.Y.). 30(10)
Detecting community structure is one of the most important problems in analyzing complex networks such as technological, informational, biological, and social networks and has great importance in understanding the operation and organization of these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2474a4cbc71eccda733139b9de30166f
https://pubmed.ncbi.nlm.nih.gov/33138454
https://pubmed.ncbi.nlm.nih.gov/33138454
Publikováno v:
Chaos (Woodbury, N.Y.). 30(1)
Community structure is one of the most important topological characteristics of complex networks. Detecting the community structure is a highly challenging problem in analyzing complex networks and it has high significance for understanding the funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e12bb28102c3afeac916d609f0ebd5a
https://pubmed.ncbi.nlm.nih.gov/32013477
https://pubmed.ncbi.nlm.nih.gov/32013477