Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility

Research article (Advances in Structural Engineering, 2022) · cited 14× · AI/ML
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Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility

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Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility. Retrieved May 24, 2026, from https://4ort.xyz/entity/fully-automated-natural-frequency-identification-based-on-deep-learning-enhanced-computer-vision-and-power-spectral-dens
MLA “Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fully-automated-natural-frequency-identification-based-on-deep-learning-enhanced-computer-vision-and-power-spectral-dens.
BibTeX @misc{4ortxyz_fully-automated-natural-frequency-identification-based-on-deep-learning-enhanced-computer-vision-and-power-spectral-dens_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility}}, year = {2026}, url = {https://4ort.xyz/entity/fully-automated-natural-frequency-identification-based-on-deep-learning-enhanced-computer-vision-and-power-spectral-dens}, note = {Accessed: 2026-05-24}}
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