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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
dc.contributor.author | Mayet, Abdulilah Mohammad | |
dc.contributor.author | Nurgalieva, Karina Shamilyevna | |
dc.contributor.author | Al-Qahtani, Ali Awadh | |
dc.contributor.author | Narozhnyy, Igor M. | |
dc.contributor.author | Alhashim, Hala H. | |
dc.contributor.author | Nazemi, Ehsan | |
dc.contributor.author | Indrupskiy, Ilya M. | |
dc.date.accessioned | 2022-09-05T02:37:55Z | |
dc.date.available | 2022-09-05T02:37:55Z | |
dc.date.issued | 2022-AUG | |
dc.identifier.other | WOS:000845544700001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/40349 | |
dc.source | WOS | |
dc.title | 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 | |
dc.type | Journal article | |
dc.contributor.imecauthor | Nazemi, Ehsan | |
dc.identifier.doi | 10.3390/math10162916 | |
dc.source.numberofpages | 20 | |
dc.source.peerreview | yes | |
dc.source.journal | MATHEMATICS | |
dc.source.issue | 16 | |
dc.source.volume | 10 | |
imec.availability | Under review |
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