Home ›
Entities
› academia
› Enhancing the Structural Health Monitoring (SHM) through data reconstruction: Integrating 1D convolutional neural networks (1DCNN) with bidirectional long short-term memory networks (Bi-LSTM)
Enhancing the Structural Health Monitoring (SHM) through data reconstruction: Integrating 1D convolutional neural networks (1DCNN) with bidirectional long short-term memory networks (Bi-LSTM)
Research article (Engineering Structures, 2025) · cited 19× · AI/ML
Enhancing the Structural Health Monitoring (SHM) through data reconstruction: Integrating 1D convolutional neural networks (1DCNN) with bidirectional long short-term memory networks (Bi-LSTM)
Summary
Enhancing the Structural Health Monitoring (SHM) through data reconstruction: Integrating 1D convolutional neural networks (1DCNN) with bidirectional long short-term memory networks (Bi-LSTM) is a scholarly article[1].
Key Facts
Enhancing the Structural Health Monitoring (SHM) through data reconstruction: Integrating 1D convolutional neural networks (1DCNN) with bidirectional long short-term memory networks (Bi-LSTM)'s instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Enhancing the Structural Health Monitoring (SHM) through data reconstruction: Integrating 1D convolutional neural networks (1DCNN) with bidirectional long short-term memory networks (Bi-LSTM). Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-the-structural-health-monitoring-shm-through-data-reconstruction-integrating-1d-convolutional-neural-networks-
MLA“Enhancing the Structural Health Monitoring (SHM) through data reconstruction: Integrating 1D convolutional neural networks (1DCNN) with bidirectional long short-term memory networks (Bi-LSTM).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-the-structural-health-monitoring-shm-through-data-reconstruction-integrating-1d-convolutional-neural-networks-.
BibTeX@misc{4ortxyz_enhancing-the-structural-health-monitoring-shm-through-data-reconstruction-integrating-1d-convolutional-neural-networks-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing the Structural Health Monitoring (SHM) through data reconstruction: Integrating 1D convolutional neural networks (1DCNN) with bidirectional long short-term memory networks (Bi-LSTM)}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-the-structural-health-monitoring-shm-through-data-reconstruction-integrating-1d-convolutional-neural-networks-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing the Structural Health Monitoring (SHM) through data reconstruction: Integrating 1D convolutional neural networks (1DCNN) with bidirectional long short-term memory networks (Bi-LSTM) — https://4ort.xyz/entity/enhancing-the-structural-health-monitoring-shm-through-data-reconstruction-integrating-1d-convolutional-neural-networks- (retrieved 2026-05-24)
