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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
Publication:
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
Date
2022
Journal article
https://doi.org/10.3390/math10162916
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2.91 MB
Basic data
APA
Chicago
Harvard
IEEE
Basic data
APA
Chicago
Harvard
IEEE
Author(s)
Mayet, Abdulilah Mohammad
;
Nurgalieva, Karina Shamilyevna
;
Al-Qahtani, Ali Awadh
;
Narozhnyy, Igor M.
;
Alhashim, Hala H.
;
Nazemi, Ehsan
;
Indrupskiy, Ilya M.
Journal
MATHEMATICS
Abstract
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since deposited on 2022-09-05
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Downloads
122
since deposited on 2022-09-05
53
item.page.metrics.field.last-week
Acq. date: 2025-10-25
Views
1439
since deposited on 2022-09-05
407
item.page.metrics.field.last-week
Acq. date: 2025-10-25
Citations