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Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Mohammed, Hamza Haruna, Marijan, Dusica, Maressa, Arnbjørn
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
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