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Autori: Eftekhari-Zadeh Ehsan

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Naslov Applying Data Mining and Artificial Intelligence Techniques for High Precision Measuring of the Two-Phase Flow's Characteristics Independent of the Pipe's Scale Layer (Article)
Autori Mayet Abdulilah Mohammad Salama Ahmed S Alizadeh Seyed Mehdi Nesic Slavko  Guerrero John William Grimaldo Eftekhari-Zadeh Ehsan Nazemi Ehsan Iliyasu Abdullah M 
Info ELECTRONICS, (2022), vol. 11 br. 3, str. -
Projekat Open Access Publication Fund of the Thueringer Universitaets- und Landesbibliothek Jena; King Khalid University [GRP-20-41 /2020]; Saudi Ministry of Education [IF-PSAU-2021/01/18316]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov 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 (Article)
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 
Info APPLIED SCIENCES-BASEL, (2022), vol. 12 br. 3, str. -
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]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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