Gradient Boosted Decision Trees

Strengthening Nuclear Security with ML, Full-Spectrum 137Cs Burial Depth Estimation

The non-intrusive characterization of buried radioactive sources is a critical capability for thwarting illicit trafficking, mitigating orphan‑source hazards, and safeguarding civilian populations against radiological threats. Depth estimation, in …

A machine learning approach in the estimation of a radioactive source position using a coded aperture device

Coded Aperture γ-cameras have been used for more than three decades for imaging radioactive source distributions encountered in astrophysics, in decommissioning of nuclear facilities, and in nuclear medicine. These devices enable the identification …