Home ›
Entities
› academia
› A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results
A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results
Research article (Applied Energy, 2025) · cited 11× · AI/ML
A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results
Summary
A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results is a scholarly article[1].
Key Facts
A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results'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). A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-pioneering-approach-for-improving-ship-operational-energy-efficiency-the-quantitative-application-of-deep-learning-int
MLA“A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-pioneering-approach-for-improving-ship-operational-energy-efficiency-the-quantitative-application-of-deep-learning-int.
BibTeX@misc{4ortxyz_a-pioneering-approach-for-improving-ship-operational-energy-efficiency-the-quantitative-application-of-deep-learning-int_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results}}, year = {2026}, url = {https://4ort.xyz/entity/a-pioneering-approach-for-improving-ship-operational-energy-efficiency-the-quantitative-application-of-deep-learning-int}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results — https://4ort.xyz/entity/a-pioneering-approach-for-improving-ship-operational-energy-efficiency-the-quantitative-application-of-deep-learning-int (retrieved 2026-05-24)