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

Mayet, Abdulilah MohammadAbdulilah MohammadMayetNurgalieva, Karina ShamilyevnaKarina ShamilyevnaNurgalievaAl-Qahtani, Ali AwadhAli AwadhAl-QahtaniNarozhnyy, Igor M.Igor M.NarozhnyyAlhashim, Hala H.Hala H.AlhashimNazemi, EhsanEhsanNazemiIndrupskiy, Ilya M.Ilya M.Indrupskiy2022-12-152022-09-052022-12-1520222227-7390WOS:000845544700001https://imec-publications.be/handle/20.500.12860/40349Proposing 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 NetworkJournal article10.3390/math10162916WOS:000845544700001GAMMA-RAY ATTENUATIONDESIGN