Home ›
Entities
› academia
› A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals
A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals
Research article (IEEE Transactions on Instrumentation and Measurement, 2023) · cited 55× · AI/ML
A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals
Summary
A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals is a scholarly article[1].
Key Facts
A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals'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). A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-cascaded-deep-learning-model-for-the-detection-and-quantification-of-defects-in-pipelines-via-magnetic-flux-leak
MLA“A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-cascaded-deep-learning-model-for-the-detection-and-quantification-of-defects-in-pipelines-via-magnetic-flux-leak.
BibTeX@misc{4ortxyz_a-novel-cascaded-deep-learning-model-for-the-detection-and-quantification-of-defects-in-pipelines-via-magnetic-flux-leak_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-cascaded-deep-learning-model-for-the-detection-and-quantification-of-defects-in-pipelines-via-magnetic-flux-leak}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals — https://4ort.xyz/entity/a-novel-cascaded-deep-learning-model-for-the-detection-and-quantification-of-defects-in-pipelines-via-magnetic-flux-leak (retrieved 2026-05-24)
