Results
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 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.