UAPx: A Multisensor, Multi-Modal Framework for Credible Identification and Classification of Unidentified Phenomena

To the point

UAPx is a scientific program that uses a diverse, multi-spectral sensor network and Monte Carlo simulations with Bayesian, frequentist, and AI methods to detect, triangulate, and classify unidentified phenomena, validate findings through calibration and cross-validation, publish analyses only after peer review, and continually expand data collection with automated stations and public data sources, guided by Carl Sagan's ethos of open evidence.