openalexZenodo (CERN European Organization for Nuclear Research)
Data-Driven Estimation of Ship Manoeuvring Hydrodynamic Derivatives using a Hybrid MARUS–PINN Framework with LLM-Guided Symbolic Discovery
Paria Rezayan, Konstantinos Domdouzis, Yogang Singh
Identification of hydrodynamic derivatives that govern ship manoeuvring behaviour for autonomous vessels such as unmanned surface vehicles (USVs) is essential for diverse maritime purposes including oceanographic research, environmental monitoring, and autonomous navigation. Howe…
Also available via: European Organization for Nuclear Research