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Tribological properties and wear prediction of various ceramic friction pairs under seawater lubrication condition of different medium characteristics using CNN-LSTM method
Research article (Tribology International, 2023) · cited 20× · AI/ML
Tribological properties and wear prediction of various ceramic friction pairs under seawater lubrication condition of different medium characteristics using CNN-LSTM method
Summary
Tribological properties and wear prediction of various ceramic friction pairs under seawater lubrication condition of different medium characteristics using CNN-LSTM method is a scholarly article[1].
Key Facts
Tribological properties and wear prediction of various ceramic friction pairs under seawater lubrication condition of different medium characteristics using CNN-LSTM method's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Tribological properties and wear prediction of various ceramic friction pairs under seawater lubrication condition of different medium characteristics using CNN-LSTM method. Retrieved May 24, 2026, from https://4ort.xyz/entity/tribological-properties-and-wear-prediction-of-various-ceramic-friction-pairs-under-seawater-lubrication-condition-of-di
MLA“Tribological properties and wear prediction of various ceramic friction pairs under seawater lubrication condition of different medium characteristics using CNN-LSTM method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tribological-properties-and-wear-prediction-of-various-ceramic-friction-pairs-under-seawater-lubrication-condition-of-di.
BibTeX@misc{4ortxyz_tribological-properties-and-wear-prediction-of-various-ceramic-friction-pairs-under-seawater-lubrication-condition-of-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tribological properties and wear prediction of various ceramic friction pairs under seawater lubrication condition of different medium characteristics using CNN-LSTM method}}, year = {2026}, url = {https://4ort.xyz/entity/tribological-properties-and-wear-prediction-of-various-ceramic-friction-pairs-under-seawater-lubrication-condition-of-di}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tribological properties and wear prediction of various ceramic friction pairs under seawater lubrication condition of different medium characteristics using CNN-LSTM method — https://4ort.xyz/entity/tribological-properties-and-wear-prediction-of-various-ceramic-friction-pairs-under-seawater-lubrication-condition-of-di (retrieved 2026-05-24)
