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Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals
Research article (Arabian Journal for Science and Engineering, 2022) · cited 11× · AI/ML
Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals
Summary
Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals is a scholarly article[1].
Key Facts
Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals's instance of is recorded as scholarly article[2].
References
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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). Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/convolutional-neural-network-based-methodology-for-detecting-locating-and-quantifying-corrosion-damage-in-a-truss-type-b
MLA“Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convolutional-neural-network-based-methodology-for-detecting-locating-and-quantifying-corrosion-damage-in-a-truss-type-b.
BibTeX@misc{4ortxyz_convolutional-neural-network-based-methodology-for-detecting-locating-and-quantifying-corrosion-damage-in-a-truss-type-b_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals}}, year = {2026}, url = {https://4ort.xyz/entity/convolutional-neural-network-based-methodology-for-detecting-locating-and-quantifying-corrosion-damage-in-a-truss-type-b}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals — https://4ort.xyz/entity/convolutional-neural-network-based-methodology-for-detecting-locating-and-quantifying-corrosion-damage-in-a-truss-type-b (retrieved 2026-05-24)
