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Journal: Water, 2024
Volume: 16
Number: 3325
Article:
An Innovative Deep-Learning Technique for Fuel Demand Estimation in Maritime Transportation: A Step Toward Sustainable Development and Environmental Impact Mitigation
Authors:
by
Ayman F. Alghanmi, Bassam M. Aljahdali, Hussain T. Sulaimani, Osman Turan and Mohammed H. Alshareef
Link:
https://www.mdpi.com/2073-4441/16/22/3325
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