Home ›
Entities
› academia
› Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality
Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality
Research article (Ocean Engineering, 2023) · cited 16× · AI/ML
Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality
Summary
Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality is a scholarly article[1].
Key Facts
Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality'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). Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-gated-recurrent-unit-networks-for-time-domain-long-term-fatigue-analysis-of-mooring-lines-considering-wave-directio
MLA“Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-gated-recurrent-unit-networks-for-time-domain-long-term-fatigue-analysis-of-mooring-lines-considering-wave-directio.
BibTeX@misc{4ortxyz_deep-gated-recurrent-unit-networks-for-time-domain-long-term-fatigue-analysis-of-mooring-lines-considering-wave-directio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality}}, year = {2026}, url = {https://4ort.xyz/entity/deep-gated-recurrent-unit-networks-for-time-domain-long-term-fatigue-analysis-of-mooring-lines-considering-wave-directio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality — https://4ort.xyz/entity/deep-gated-recurrent-unit-networks-for-time-domain-long-term-fatigue-analysis-of-mooring-lines-considering-wave-directio (retrieved 2026-05-24)
