Home ›
Entities
› academia
› 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
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
Research article (Mathematics, 2022) · cited 15× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/proposing-a-high-precision-petroleum-pipeline-monitoring-system-for-identifying-the-type-and-amount-of-oil-products-usin
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/proposing-a-high-precision-petroleum-pipeline-monitoring-system-for-identifying-the-type-and-amount-of-oil-products-usin.
BibTeX@misc{4ortxyz_proposing-a-high-precision-petroleum-pipeline-monitoring-system-for-identifying-the-type-and-amount-of-oil-products-usin_2026, author = {{4ort.xyz Knowledge Graph}}, 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}}, year = {2026}, url = {https://4ort.xyz/entity/proposing-a-high-precision-petroleum-pipeline-monitoring-system-for-identifying-the-type-and-amount-of-oil-products-usin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/proposing-a-high-precision-petroleum-pipeline-monitoring-system-for-identifying-the-type-and-amount-of-oil-products-usin (retrieved 2026-05-24)
