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Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure
Research article (Engineering Structures, 2023) · cited 40× · AI/ML
Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure
Summary
Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure is a scholarly article[1].
Key Facts
Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-of-electromechanical-admittance-data-augmented-by-generative-adversarial-networks-for-flexural-performance
MLA“Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-of-electromechanical-admittance-data-augmented-by-generative-adversarial-networks-for-flexural-performance.
BibTeX@misc{4ortxyz_deep-learning-of-electromechanical-admittance-data-augmented-by-generative-adversarial-networks-for-flexural-performance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-of-electromechanical-admittance-data-augmented-by-generative-adversarial-networks-for-flexural-performance}, note = {Accessed: 2026-05-24}}
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