A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations

Research article (Engineering Structures, 2022) · cited 72× · AI/ML
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A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations

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A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-data-driven-structural-damage-identification-approach-using-deep-convolutional-attention-recurrent-neural-architecture
MLA “A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-data-driven-structural-damage-identification-approach-using-deep-convolutional-attention-recurrent-neural-architecture.
BibTeX @misc{4ortxyz_a-data-driven-structural-damage-identification-approach-using-deep-convolutional-attention-recurrent-neural-architecture_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations}}, year = {2026}, url = {https://4ort.xyz/entity/a-data-driven-structural-damage-identification-approach-using-deep-convolutional-attention-recurrent-neural-architecture}, note = {Accessed: 2026-05-24}}
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