Chen, T.-C.; Iliyasu, A.M.; Hanus, R.; Salama, A.S.; Hirota, K.
Predicting Scale Thickness in Oil Pipelines Using Frequency Characteristics and an Artificial Neural Network in a Stratified Flow Regime. Energies 2022, 15, 7564.
https://doi.org/10.3390/en15207564
AMA Style
Chen T-C, Iliyasu AM, Hanus R, Salama AS, Hirota K.
Predicting Scale Thickness in Oil Pipelines Using Frequency Characteristics and an Artificial Neural Network in a Stratified Flow Regime. Energies. 2022; 15(20):7564.
https://doi.org/10.3390/en15207564
Chicago/Turabian Style
Chen, Tzu-Chia, Abdullah M. Iliyasu, Robert Hanus, Ahmed S. Salama, and Kaoru Hirota.
2022. "Predicting Scale Thickness in Oil Pipelines Using Frequency Characteristics and an Artificial Neural Network in a Stratified Flow Regime" Energies 15, no. 20: 7564.
https://doi.org/10.3390/en15207564
APA Style
Chen, T. -C., Iliyasu, A. M., Hanus, R., Salama, A. S., & Hirota, K.
(2022). Predicting Scale Thickness in Oil Pipelines Using Frequency Characteristics and an Artificial Neural Network in a Stratified Flow Regime. Energies, 15(20), 7564.
https://doi.org/10.3390/en15207564