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Mayet AM, Nurgalieva KS, Al-Qahtani AA, Narozhnyy IM, Alhashim HH, Nazemi E, Indrupskiy IM. Proposing a High-Precision Petroleum Pipeline Monitoring System for Identifying the Type and Amount of Oil Products Using Extraction of Frequency Characteristics and a MLP Neural Network. Mathematics. 2022; 10(16):2916. https://doi.org/10.3390/math10162916

Mayet, Abdulilah Mohammad, Karina Shamilyevna Nurgalieva, Ali Awadh Al-Qahtani, Igor M. Narozhnyy, Hala H. Alhashim, Ehsan Nazemi, and Ilya M. Indrupskiy. 2022. "Proposing a High-Precision Petroleum Pipeline Monitoring System for Identifying the Type and Amount of Oil Products Using Extraction of Frequency Characteristics and a MLP Neural Network" Mathematics 10, no. 16: 2916. https://doi.org/10.3390/math10162916

Mayet, A. M., Nurgalieva, K. S., Al-Qahtani, A. A., Narozhnyy, I. M., Alhashim, H. H., Nazemi, E., & Indrupskiy, I. M. (2022). Proposing a High-Precision Petroleum Pipeline Monitoring System for Identifying the Type and Amount of Oil Products Using Extraction of Frequency Characteristics and a MLP Neural Network. Mathematics, 10(16), 2916. https://doi.org/10.3390/math10162916