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