Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Amin Golzari Oskouei"'
Autor:
Jalil Nourmohammadi khiarak, Amin Golzari Oskouei, Samaneh Salehi Nasab, Farhang jaryani, Seyed Naeim Moafinejad, Rana Pourmohamad, yasin Amini, Morteza Noshad
Publikováno v:
Iran Journal of Computer Science.
Iris segmentation and localization in unconstrained environments are challenging due to long distances, illumination variations, limited user cooperation, and moving subjects. Some existing methods in the literature have somehow mitigated some of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f7d0911bbf304ee27cda8e542a82120
https://doi.org/10.1007/s42044-023-00141-0
https://doi.org/10.1007/s42044-023-00141-0
Publikováno v:
Applied Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ba982b2b73a9fd00b53c7fb72b7f5d1
https://doi.org/10.1007/s10489-022-03895-5
https://doi.org/10.1007/s10489-022-03895-5
Publikováno v:
Computational Intelligence and Neuroscience.
Rapid diagnosis of COVID-19 with high reliability is essential in the early stages. To this end, recent research often uses medical imaging combined with machine vision methods to diagnose COVID-19. However, the scarcity of medical images and the inh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dbc7d2ed9245a00fc7bda3df38feece
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eb69ac534f40584e5def4560100585b
https://doi.org/10.2139/ssrn.4231953
https://doi.org/10.2139/ssrn.4231953
Publikováno v:
Applied Soft Computing. 78:324-345
Among fuzzy clustering methods, fuzzy c-means (FCM) is the most recognized algorithm. In this algorithm, it is assumed that all the features are of equal importance. In real applications, however, the importance of the features are different and ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77b7316730f48631cbfb844c478c984a
https://doi.org/10.1016/j.asoc.2019.02.038
https://doi.org/10.1016/j.asoc.2019.02.038
Publikováno v:
Software Impacts. 11:100228
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1947bd9c8507422ea4a6e566aefb9b0
https://doi.org/10.1016/j.simpa.2022.100228
https://doi.org/10.1016/j.simpa.2022.100228
Publikováno v:
Applied Soft Computing. 113:108005
The fuzzy c-means (FCM) algorithm is a popular method for data clustering and image segmentation. However, the main problem of this algorithm is that it is very sensitive to the initialization of primary clusters, so it may not perform well in segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bef98ff1311cf9dc2ff57b80ace91e55
https://doi.org/10.1016/j.asoc.2021.108005
https://doi.org/10.1016/j.asoc.2021.108005
Publikováno v:
Chaos, Solitons & Fractals. 153:111494
The fuzzy k-modes (FKM) is a popular method for clustering categorical data. However, the main problem of this algorithm is that it is very sensitive to the initialization of primary clusters, so inappropriate initial cluster centers lead to poor loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c059bef5854e0a141863ef91ec102b02
https://doi.org/10.1016/j.chaos.2021.111494
https://doi.org/10.1016/j.chaos.2021.111494