An effective framework for real-time structural damage detection using one-dimensional convolutional gated recurrent unit neural network and high performance computing

Research article (Ocean Engineering, 2022) · cited 35× · AI/ML
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An effective framework for real-time structural damage detection using one-dimensional convolutional gated recurrent unit neural network and high performance computing

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An effective framework for real-time structural damage detection using one-dimensional convolutional gated recurrent unit neural network and high performance computing is a scholarly article[1].

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  • An effective framework for real-time structural damage detection using one-dimensional convolutional gated recurrent unit neural network and high performance computing's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). An effective framework for real-time structural damage detection using one-dimensional convolutional gated recurrent unit neural network and high performance computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-framework-for-real-time-structural-damage-detection-using-one-dimensional-convolutional-gated-recurrent-uni
MLA “An effective framework for real-time structural damage detection using one-dimensional convolutional gated recurrent unit neural network and high performance computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-framework-for-real-time-structural-damage-detection-using-one-dimensional-convolutional-gated-recurrent-uni.
BibTeX @misc{4ortxyz_an-effective-framework-for-real-time-structural-damage-detection-using-one-dimensional-convolutional-gated-recurrent-uni_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective framework for real-time structural damage detection using one-dimensional convolutional gated recurrent unit neural network and high performance computing}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-framework-for-real-time-structural-damage-detection-using-one-dimensional-convolutional-gated-recurrent-uni}, note = {Accessed: 2026-05-24}}
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