Home ›
Entities
› academia
› Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals
Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals
Research article (International Journal of Pressure Vessels and Piping, 2023) · cited 17× · AI/ML
Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals
Summary
Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals is a scholarly article[1].
Key Facts
Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on 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). Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-a-convolutional-neural-network-model-to-predict-the-size-and-location-of-corrosion-defects-on-pipelines-b
MLA“Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-a-convolutional-neural-network-model-to-predict-the-size-and-location-of-corrosion-defects-on-pipelines-b.
BibTeX@misc{4ortxyz_development-of-a-convolutional-neural-network-model-to-predict-the-size-and-location-of-corrosion-defects-on-pipelines-b_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-a-convolutional-neural-network-model-to-predict-the-size-and-location-of-corrosion-defects-on-pipelines-b}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals — https://4ort.xyz/entity/development-of-a-convolutional-neural-network-model-to-predict-the-size-and-location-of-corrosion-defects-on-pipelines-b (retrieved 2026-05-24)
