Real-Time Management of Vessel Carbon Dioxide Emissions Based on Automatic Identification System Database Using Deep Learning

In this study, we propose an effective method using deep learning to strengthen real-time vessel carbon dioxide emission management. We propose a method to predict real-time carbon dioxide emissions of the vessel in three steps: (1) convert the trajectory data of the fixed time interval into a spati...

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Bibliographic Details
Main Authors: Yongpeng Wang, Daisuke Watanabe, Enna Hirata, Shigeki Toriumi
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/9/8/871