2 papers
math.NA2026
A Physics-Informed Statistical Learning Model for Long-Term Fragmentation Cloud Propagation
Yema Paul, Diogo Sousa, Albert Servitje +4
This paper introduced a Hierarchical Generative Density Model (HGDM) for the long-term propagation of orbital fragmentation clouds. Validation against high-fidelity Monte Carlo sim…
cs.AI2024
Treatment of Epistemic Uncertainty in Conjunction Analysis with Dempster-Shafer Theory
Luis Sanchez, Massimiliano Vasile, Silvia Sanvido +2
The paper presents an approach to the modelling of epistemic uncertainty in Conjunction Data Messages (CDM) and the classification of conjunction events according to the confidence…