Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction

The International Maritime Organization has proposed several operational policies and measures to lower ships' specific fuel consumption (SFC) and associated emissions toward the sustainability of maritime activities, showing the need for creating exact predictive models based on actual operational...

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Principais autores:	Van Nhanh Nguyen, Nghia Chung, G.N. Balaji, Krzysztof Rudzki, Anh Tuan Hoang
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-04-01
Serija:	Alexandria Engineering Journal
Teme:	Ship fuel consumption Maritime industry Internet of things Explainable machine learning SHAP values Model prediction
Online dostop:	http://www.sciencedirect.com/science/article/pii/S111001682500095X
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