Ship Fuel and Carbon Emission Estimation Utilizing Artificial Neural Network and Data Fusion Techniques

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ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

"Ship Fuel and Carbon Emission Estimation Utilizing Artificial Neural Network and Data Fusion Techniques"
written by Shaohan Wang, Xinbo Wang, Yi Han, Xiangyu Wang, He Jiang, Zhexi Zhang,
published by Journal of Software Engineering and Applications, Vol.16 No.3, 2023

has been cited by the following article(s):

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[1]	Speed optimization for maximizing the ship’s economic benefits considering the Carbon Intensity Indicator (CII) Ocean Engineering, 2024 DOI:10.1016/j.oceaneng.2024.116712

[2]	Application of Intelligent Digital Technology in Load Forecasting of New Power Systems 2023 International Conference on Network, Multimedia and Information Technology (NMITCON), 2023 DOI:10.1109/NMITCON58196.2023.10276027

[3]	Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), 2023 DOI:10.1109/IISA59645.2023.10345936

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