Home ›
Entities
› academia
› Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients
Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients
Research article (Ocean Engineering, 2024) · cited 31× · AI/ML
Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients
Summary
Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients is a scholarly article[1].
Key Facts
Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients'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). Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients. Retrieved May 24, 2026, from https://4ort.xyz/entity/condition-monitoring-of-mooring-systems-for-floating-offshore-wind-turbines-using-convolutional-neural-network-framework
MLA“Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/condition-monitoring-of-mooring-systems-for-floating-offshore-wind-turbines-using-convolutional-neural-network-framework.
BibTeX@misc{4ortxyz_condition-monitoring-of-mooring-systems-for-floating-offshore-wind-turbines-using-convolutional-neural-network-framework_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients}}, year = {2026}, url = {https://4ort.xyz/entity/condition-monitoring-of-mooring-systems-for-floating-offshore-wind-turbines-using-convolutional-neural-network-framework}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients — https://4ort.xyz/entity/condition-monitoring-of-mooring-systems-for-floating-offshore-wind-turbines-using-convolutional-neural-network-framework (retrieved 2026-05-24)
