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

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Назив:	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
Аутори:	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
Година:	2022
Публикација:	APPLIED SCIENCES-BASEL
ISSN:	2076-3417 Applied Sciences-Basel Претражи идентификатор
Тип резултата:	Научни чланак
Колација:	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
Пројекат:	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]
Извор метаподатака:	(Preuzeto iz Nasi u WoS)
М-категорија:	21M21 - Водећи међународни часопис категорије M21

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