A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data

Research article (Sensors, 2019) · cited 35× · AI/ML
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A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data

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A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novelty-detection-approach-for-tendons-of-prestressed-concrete-bridges-based-on-a-convolutional-autoencoder-and-accele
MLA “A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novelty-detection-approach-for-tendons-of-prestressed-concrete-bridges-based-on-a-convolutional-autoencoder-and-accele.
BibTeX @misc{4ortxyz_a-novelty-detection-approach-for-tendons-of-prestressed-concrete-bridges-based-on-a-convolutional-autoencoder-and-accele_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data}}, year = {2026}, url = {https://4ort.xyz/entity/a-novelty-detection-approach-for-tendons-of-prestressed-concrete-bridges-based-on-a-convolutional-autoencoder-and-accele}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data — https://4ort.xyz/entity/a-novelty-detection-approach-for-tendons-of-prestressed-concrete-bridges-based-on-a-convolutional-autoencoder-and-accele (retrieved 2026-05-24)

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