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 | 2022-12-15T13:00:11Z | |
dc.date.available | 2022-09-05T02:37:55Z | |
dc.date.available | 2022-12-15T13:00:11Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2227-7390 | |
dc.identifier.other | WOS:000845544700001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/40349.2 | |
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.beginpage | 2916 | |
dc.source.endpage | na | |
dc.source.journal | MATHEMATICS | |
dc.source.issue | 16 | |
dc.source.volume | 10 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This work was supported by the Deanship of Scientific Research at King Khalid University (Grant numbers RGP.1/243/42). This article was written with the support of grant No. MK-4464.2022.1.5. This paper has been supported by the RUDN University Strategic Academic Leadership Program. | |