Order Article Reprints

Alanazi AK, Alizadeh SM, Nurgalieva KS, Nesic S, Grimaldo Guerrero JW, Abo-Dief HM, Eftekhari-Zadeh E, Nazemi E, Narozhnyy IM. 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. Applied Sciences. 2022; 12(3):1336. https://doi.org/10.3390/app12031336

Alanazi, Abdullah K., Seyed Mehdi Alizadeh, Karina Shamilyevna Nurgalieva, Slavko Nesic, John William Grimaldo Guerrero, Hala M. Abo-Dief, Ehsan Eftekhari-Zadeh, Ehsan Nazemi, and Igor M. Narozhnyy. 2022. "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" Applied Sciences 12, no. 3: 1336. https://doi.org/10.3390/app12031336

Alanazi, A. K., Alizadeh, S. M., Nurgalieva, K. S., Nesic, S., Grimaldo Guerrero, J. W., Abo-Dief, H. M., Eftekhari-Zadeh, E., Nazemi, E., & Narozhnyy, I. M. (2022). 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. Applied Sciences, 12(3), 1336. https://doi.org/10.3390/app12031336