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eNauka >  Rezultati >  Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer Thickness
Naziv: Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer Thickness
Autori: Alanazi, Abdullah K; Alizadeh, Seyed Mehdi; Nurgalieva, Karina Shamilyevna; Nesic, Slavko; Grimaldo, Guerrero John William; Abo-Dief, Hala M; Eftekhari-Zadeh, Ehsan; Nazemi, Ehsan; Narozhnyy, Igor M
Godina: 2022
Publikacija: APPLIED SCIENCES-BASEL
ISSN: 2076-3417 Applied Sciences-Basel Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: vol. 12 br. 3 str. 1336-1336
DOI: 10.3390/app12031336
WoS-ID: 000755051900001
Scopus-ID: 2-s2.0-85123526013
URI: https://enauka.gov.rs/handle/123456789/814450
Projekat: Open Access Publication Fund of Thueringer Universitaets- und Landesbibliothek Jena
Taif University Researchers Supporting Project, Taif, Saudi Arabi [TURSP-2020/266]
RUDN University Strategic Academic Leadership Program [FSRW-2020-0014]
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
M-kategorija: 
21M21 - Vodeći međunarodni časopis kategorije M21

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