3 papers
cs.LG2026
Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach
Hamza Haruna Mohammed, Dusica Marijan, Arnbjørn Maressa
Accurate prediction of shaft rotational speed, shaft power, and fuel consumption is crucial for enhancing operational efficiency and sustainability in maritime transportation. Conv…
cs.LG2026
Estimation and Optimization of Ship Fuel Consumption in Maritime: Review, Challenges and Future Directions
Dusica Marijan, Hamza Haruna Mohammed, Bakht Zaman
To reduce carbon emissions and minimize shipping costs, improving the fuel efficiency of ships is crucial. Various measures are taken to reduce the total fuel consumption of ships,…
cs.LG2025
Physics-guided Neural Network-based Shaft Power Prediction for Vessels
Dogan Altan, Hamza Haruna Mohammed, Glenn Terje Lines +2
Optimizing maritime operations, particularly fuel consumption for vessels, is crucial, considering its significant share in global trade. As fuel consumption is closely related to…