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eNauka >  Results >  Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy
Title: Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy
Authors: Alsattar, Hassan A; Qahtan, Sarah; Zaidan, Aws Alaa; Deveci, Muhammet; Martinez, Luis E; Pamucar, Dragan S  ; Pedrycz, Witold
Issue Date: 2024
Publication: EXPERT SYSTEMS WITH APPLICATIONS
ISSN: 0957-4174 Expert Systems with Applications Search Idenfier
Type: Article
Collation: vol. 236 str. 121300-121300
DOI: 10.1016/j.eswa.2023.121300
WoS-ID: 001070936100001
Scopus-ID: 2-s2.0-85172890907
URI: https://enauka.gov.rs/handle/123456789/799927
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21aM21a

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