3 papers - avg viability 6.0
PIER is an offline reinforcement learning framework that optimizes maritime routing to significantly reduce fuel waste and emissions.
Develop a physics-informed AI model to accurately predict maritime vessel shaft power and fuel consumption for operational efficiency.
A data-driven surrogate using LSTMs to predict and analyze critical ship roll instabilities from wave data.