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Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches

Nguyen Dang Khoa Pham

Nguyen Dang Khoa Pham

Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
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Pham, Nguyen Dang Khoa
, 
Gia Huy Dinh

Gia Huy Dinh

Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
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Dinh, Gia Huy
, 
Canh Lam Nguyen

Canh Lam Nguyen

The Business School, Business Innovation Department, RMIT UniversityHo Chi Minh city, Viet Nam
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Nguyen, Canh Lam
, 
Hai Quoc Dang

Hai Quoc Dang

Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
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Dang, Hai Quoc
, 
Hoang Thai Pham

Hoang Thai Pham

Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
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Pham, Hoang Thai
, 
Quyen Tat Nguyen

Quyen Tat Nguyen

Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
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Nguyen, Quyen Tat
 and 
Minh Cong Tran

Minh Cong Tran

Nha Trang UniversityNha Trang, Viet Nam
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Tran, Minh Cong
  
Mar 05, 2025
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Published Online: Mar 05, 2025
Page range: 81 - 94
DOI: https://doi.org/10.2478/pomr-2025-0008
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© 2025 Nguyen Dang Khoa Pham et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Pham, Nguyen Dang Khoa ORCID Icon
Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
Dinh, Gia Huy ORCID Icon
Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
Nguyen, Canh Lam
The Business School, Business Innovation Department, RMIT UniversityHo Chi Minh city, Viet Nam
Dang, Hai Quoc ORCID Icon
Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
Pham, Hoang Thai ORCID Icon
Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
Nguyen, Quyen Tat
Ho Chi Minh City University of TransportHo Chi Minh city, Viet Nam
Tran, Minh Cong
Nha Trang UniversityNha Trang, Viet Nam
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Engineering, Introductions and Overviews, Engineering, other, Geosciences, Atmospheric Science and Climatology, Life Sciences, Life Sciences, other
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