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cs.LG2026
Physics-Informed Framework for Impact Identification in Aerospace Composites
Natália Ribeiro Marinho, Richard Loendersloot, Jan Willem Wiegman +2
This paper introduces a novel physics-informed impact identification (Phy-ID) framework. The proposed method integrates observational, inductive, and learning biases to combine phy…
cs.LG2025
Defining Energy Indicators for Impact Identification on Aerospace Composites: A Structured Feature Selection Approach Guided by Domain Knowledge
Natália Ribeiro Marinho, Richard Loendersloot, Frank Grooteman +3
Energy estimation is critical to impact identification on aerospace composites, where low-velocity impacts can induce internal damage that is undetectable at the surface. Data spar…
cs.LG2025
InfoPos: A Design Support Framework for ML-Assisted Fault Detection and Identification in Industrial Cyber-Physical Systems
Uraz Odyurt, Richard Loendersloot, Tiedo Tinga
The variety of building blocks and algorithms incorporated in data-centric and ML-assisted fault detection and identification solutions is high, contributing to two challenges: sel…