Home ›
Entities
› academia
› Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades
Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades
Research article (Renewable Energy, 2021) · cited 169× · AI/ML
Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades
Summary
Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades is a scholarly article[1].
Key Facts
Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades'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). Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades. Retrieved May 24, 2026, from https://4ort.xyz/entity/sequence-based-modeling-of-deep-learning-with-lstm-and-gru-networks-for-structural-damage-detection-of-floating-offshore
MLA“Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sequence-based-modeling-of-deep-learning-with-lstm-and-gru-networks-for-structural-damage-detection-of-floating-offshore.
BibTeX@misc{4ortxyz_sequence-based-modeling-of-deep-learning-with-lstm-and-gru-networks-for-structural-damage-detection-of-floating-offshore_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades}}, year = {2026}, url = {https://4ort.xyz/entity/sequence-based-modeling-of-deep-learning-with-lstm-and-gru-networks-for-structural-damage-detection-of-floating-offshore}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades — https://4ort.xyz/entity/sequence-based-modeling-of-deep-learning-with-lstm-and-gru-networks-for-structural-damage-detection-of-floating-offshore (retrieved 2026-05-24)
