Home ›
Entities
› academia
› Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines
Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines
Research article (Sustainability, 2022) · cited 16× · AI/ML
Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines
Summary
Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines is a scholarly article[1].
Key Facts
Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines'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). Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-classification-method-based-on-improved-deep-convolutional-neural-networks-for-the-magnetic-flux-leakage-mfl-signa
MLA“Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-classification-method-based-on-improved-deep-convolutional-neural-networks-for-the-magnetic-flux-leakage-mfl-signa.
BibTeX@misc{4ortxyz_image-classification-method-based-on-improved-deep-convolutional-neural-networks-for-the-magnetic-flux-leakage-mfl-signa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines}}, year = {2026}, url = {https://4ort.xyz/entity/image-classification-method-based-on-improved-deep-convolutional-neural-networks-for-the-magnetic-flux-leakage-mfl-signa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines — https://4ort.xyz/entity/image-classification-method-based-on-improved-deep-convolutional-neural-networks-for-the-magnetic-flux-leakage-mfl-signa (retrieved 2026-05-24)
