Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping-Reference-Cited by-同舟云学术

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Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping

Published:2023 Issue: Volume: Page:226-241
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Abuella Mohamed,Atoui M. Amine,Nowaczyk Slawomir,Johansson Simon,Faghani Ethan

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-43430-3_14

Reference23 articles.

1. Copernicus Marine Service. https://marine.copernicus.eu

2. Engine Volvo Penta tier13 A2022 8398. https://www.volvopenta.com/about-us/news-page/2022/jun/imo-tier-iii-range-expands-with-new-d13-solutions/

3. Shap package. https://github.com/slundberg/shap

4. StormGlass API. https://stormglass.io

5. Marine Traffic (2022). https://www.marinetraffic.com/en/ais/details/ships/shipid:1088282/mmsi:265513810/imo:8602713/vessel:BURO

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