Paria Rezayan
机构:Sheffield Hallam University · ORCID:0009-0005-0370-426X
发表论文 6 篇
代表论文
- Data-Driven Estimation of Ship Manoeuvring Hydrodynamic Derivatives using a Hybrid MARUS–PINN Framework with LLM-Guided Symbolic Discovery (2026 · Zenodo (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 (2026 · Zenodo (CERN European Organization for Nuclear Research))
- Interpretable Physics-Informed Hydrodynamic Derivative Identification for Autonomous Marine Vehicles Using Virtual Sea Trials and Symbolic Residuals (2026 · Zenodo (CERN European Organization for Nuclear Research))
- Interpretable Physics-Informed Hydrodynamic Derivative Identification for Autonomous Marine Vehicles Using Virtual Sea Trials and Symbolic Residuals (2026 · Zenodo (CERN European Organization for Nuclear Research))
- iSCSS26 Vessel Manoeuvring Dataset: Traceable Virtual Sea Trials in the Marine Robotics Unity Simulator (2026 · Sheffield Hallam University Research Data Archive (SHURDA))
- iSCSS26 Vessel Manoeuvring Dataset: Traceable Virtual Sea Trials in the Marine Robotics Unity Simulator (2026 · Zenodo (CERN European Organization for Nuclear Research))