Zobrazeno 1 - 6
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pro vyhledávání: '"Wafa Zubair Al-Dyani"'
Autor:
Wafa Zubair Al-Dyani
Publikováno v:
IEEE Access, Vol 12, Pp 72079-72097 (2024)
Several Event Detection (ED) applications utilize various wrapper Feature Selection (FS) techniques based on wrapping the Markov Clustering Algorithm (MCL) with the Binary Bat Algorithm (BBA) or Adaptive Bat Algorithm (ABBA). These approaches have sh
Externí odkaz:
https://doaj.org/article/fe89d54f4b8f4a53ac46db010dfce9d0
Publikováno v:
IEEE Access, Vol 10, Pp 85655-85676 (2022)
Wrapper Feature Selection (FS) methods based on the Binary Bat Algorithm (BBA) have recently been employed in a variety of detection applications to determine the most relevant feature subset. Despite the outstanding achievement of BBA in these domai
Externí odkaz:
https://doaj.org/article/d49520695ab54752a9ff79b95c529ce1
Publikováno v:
Cogent Engineering, Vol 9, Iss 1 (2022)
Feature Selection (FS) phase is crucial in the Event Detection (ED) model. Several studies have captured the most informative features using various filter and wrapper FS methods. Recently, FS methods based on swarm intelligence algorithms have been
Externí odkaz:
https://doaj.org/article/8e993a25b4ff45cdbee1163eeb9aa982
Publikováno v:
Intelligent Data Analysis. 26:5-31
Bat Algorithm (BA) has been extensively applied as an optimal Feature Selection (FS) technique for solving a wide variety of optimization problems due to its impressive characteristics compared to other swarm intelligence methods. Nevertheless, BA st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::701237298eb2ae3b135e475e174f320c
https://doi.org/10.3233/ida-205455
https://doi.org/10.3233/ida-205455
Publikováno v:
Journal of Computer Science. 16:916-935
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6e1007b74568475a16c882343acf6ef
https://doi.org/10.3844/jcssp.2020.916.935
https://doi.org/10.3844/jcssp.2020.916.935
Publikováno v:
International Journal of Engineering & Technology. 7:72
The area of Event Detection (ED) has attracted researchers' attention over the last few years because of the wide use of social media. Many studies have examined the problem of ED in various social media platforms, like Twitter, Facebook, YouTube, et
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60941ab260a107a0618e378f2d444a7c
https://doi.org/10.14419/ijet.v7i2.15.11217
https://doi.org/10.14419/ijet.v7i2.15.11217