Home ›
Entities
› academia
› An intelligent monitoring approach for urban natural gas pipeline leak using semi-supervised learning generative adversarial networks
An intelligent monitoring approach for urban natural gas pipeline leak using semi-supervised learning generative adversarial networks
Research article (Journal of Loss Prevention in the Process Industries, 2024) · cited 19× · AI/ML
An intelligent monitoring approach for urban natural gas pipeline leak using semi-supervised learning generative adversarial networks
Summary
An intelligent monitoring approach for urban natural gas pipeline leak using semi-supervised learning generative adversarial networks is a scholarly article[1].
Key Facts
An intelligent monitoring approach for urban natural gas pipeline leak using semi-supervised learning generative adversarial networks'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). An intelligent monitoring approach for urban natural gas pipeline leak using semi-supervised learning generative adversarial networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-intelligent-monitoring-approach-for-urban-natural-gas-pipeline-leak-using-semi-supervised-learning-generative-adversa
MLA“An intelligent monitoring approach for urban natural gas pipeline leak using semi-supervised learning generative adversarial networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-intelligent-monitoring-approach-for-urban-natural-gas-pipeline-leak-using-semi-supervised-learning-generative-adversa.
BibTeX@misc{4ortxyz_an-intelligent-monitoring-approach-for-urban-natural-gas-pipeline-leak-using-semi-supervised-learning-generative-adversa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An intelligent monitoring approach for urban natural gas pipeline leak using semi-supervised learning generative adversarial networks}}, year = {2026}, url = {https://4ort.xyz/entity/an-intelligent-monitoring-approach-for-urban-natural-gas-pipeline-leak-using-semi-supervised-learning-generative-adversa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An intelligent monitoring approach for urban natural gas pipeline leak using semi-supervised learning generative adversarial networks — https://4ort.xyz/entity/an-intelligent-monitoring-approach-for-urban-natural-gas-pipeline-leak-using-semi-supervised-learning-generative-adversa (retrieved 2026-05-24)
