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A Hybrid Approach Integrating Physics-Based Models and Expert-Augmented Neural Networks for Ship Fuel Consumption Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The International Maritime Organization’s recent approval of the 2023 strategy on reduction of greenhouse gas emissions amplifies the pressure on stakeholders to achieve net-zero emissions in shipping by 2050. Considering ...
A Deep Generative Model for Multi-Ship Trajectory Forecasting With Interaction Modeling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Multi-agent modeling is a challenging issue in intelligent systems, which is further compounded by heavy and complex traffic in maritime contexts. Trajectory forecasting can enhance operation safety. Nonetheless, effectively ...