Neural network-based fuel consumption estimation for container ships in Korea-Reference-Cited by-同舟云学术

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Neural network-based fuel consumption estimation for container ships in Korea

Published:2020-02-21 Issue:5 Volume:47 Page:615-632
ISSN:0308-8839
Container-title:Maritime Policy & Management
language:en
Short-container-title:Maritime Policy & Management

Author:

Le Luan Thanh¹²^ORCID,Lee Gunwoo³,Park Keun-Sik¹,Kim Hwayoung⁴

Affiliation:

1. Department of International Logistics, Chung-Ang University , Dongjak-gu, Republic of Korea

2. Faculty of Maritime Business, Vietnam Maritime University , Haiphong, Vietnam

3. Department of Transportation and Logistics Engineering, Hanyang University ,Sangnok-gu, Republic of Korea

4. Division of International Maritime Transportation Science, Mokpo National Maritime University , Mokpo, Korea

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Ocean Engineering,Transportation,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/03088839.2020.1729437

Reference47 articles.

1. Estimating of shipping emissions in the Samsun Port from 2010 to 2015

2. An artificial neural network based decision support system for energy efficient ship operations

3. Impedance cardiography (electrical velocimetry) and transthoracic echocardiography for non-invasive cardiac output monitoring in pediatric intensive care patients: a prospective single-center observational study

4. Have Emission Control Areas (ECAs) harmed port efficiency in Europe?

5. Assessing noxious gases of vessel operations in a potential Emission Control Area

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