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Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance
Research article (Engineering Structures, 2022) · cited 80× · AI/ML
Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance
Summary
Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance is a scholarly article[1].
Key Facts
Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-identification-of-compressive-stress-and-damage-in-concrete-specimen-using-convolutional-neural-network-learne
MLA“Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-identification-of-compressive-stress-and-damage-in-concrete-specimen-using-convolutional-neural-network-learne.
BibTeX@misc{4ortxyz_automated-identification-of-compressive-stress-and-damage-in-concrete-specimen-using-convolutional-neural-network-learne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance}}, year = {2026}, url = {https://4ort.xyz/entity/automated-identification-of-compressive-stress-and-damage-in-concrete-specimen-using-convolutional-neural-network-learne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance — https://4ort.xyz/entity/automated-identification-of-compressive-stress-and-damage-in-concrete-specimen-using-convolutional-neural-network-learne (retrieved 2026-05-24)
