3-d object tracking in panoramic video and lidar for radiological source–object attribution and improved source detection
MR Marshall, D Hellfeld, THY Joshi… - … on Nuclear Science, 2020 - ieeexplore.ieee.org
Networked detector systems can be deployed in urban environments to aid in the detection
and localization of radiological and/or nuclear material. However, effectively responding to …
and localization of radiological and/or nuclear material. However, effectively responding to …
Gamma-ray point-source localization and sparse image reconstruction using Poisson likelihood
D Hellfeld, THY Joshi, MS Bandstra… - … on Nuclear Science, 2019 - ieeexplore.ieee.org
Gamma-ray imaging attempts to reconstruct the spatial and intensity distribution of gamma-
emitting radionuclides from a set of measurements. Generally, this problem is solved by …
emitting radionuclides from a set of measurements. Generally, this problem is solved by …
Attribution of gamma-ray background collected by a mobile detector system to its surroundings using panoramic video
Mobile radiation detector systems are important tools for detecting radiological and nuclear
sources outside of regulatory control, but due to their mobility, they are subject to complex …
sources outside of regulatory control, but due to their mobility, they are subject to complex …
The nuclear legacy today of fukushima
K Vetter - Annual Review of Nuclear and Particle Science, 2020 - annualreviews.org
The accident at the Fukushima Daiichi Nuclear Power Station (FDNPS) following the Great
East Japan Earthquake and the subsequent tsunami in March 2011 changed people's …
East Japan Earthquake and the subsequent tsunami in March 2011 changed people's …
Mode-Driven explainable artificial intelligence approach for estimating background radiation spectrum in a measurement applicable to nuclear security
M Alamaniotis - Annals of Nuclear Energy, 2024 - Elsevier
This study introduces an explainable artificial intelligence (XAI) approach designed to
estimate background spectra in unknown spectral measurements. The approach combines …
estimate background spectra in unknown spectral measurements. The approach combines …
Neural network approaches for mobile spectroscopic gamma-ray source detection
Artificial neural networks (ANNs) for performing spectroscopic gamma-ray source
identification have been previously introduced, primarily for applications in controlled …
identification have been previously introduced, primarily for applications in controlled …
Data-driven modeling of background radiation structure utilizing matrix profile in nuclear security
M Alamaniotis - Scientific Reports, 2025 - nature.com
The inherently stochastic nature of radiation emissions makes modeling background
radiation structure a particularly challenging research area. In source identification …
radiation structure a particularly challenging research area. In source identification …
Networked sensing for radiation detection, localization, and tracking
RJ Cooper, N Abgrall, G Aversano… - Journal of Physics …, 2023 - iopscience.iop.org
The detection, identification, and localization of illicit radiological and nuclear material
continue to be key components of nuclear non-proliferation and nuclear security efforts …
continue to be key components of nuclear non-proliferation and nuclear security efforts …
An FPGA implementation of convolutional spiking neural networks for radioisotope identification
This paper details FPGA implementation methodology for Convolutional Spiking Neural
Networks (CSNN) and applies this methodology to low-power radioisotope identification …
Networks (CSNN) and applies this methodology to low-power radioisotope identification …
Modeling aerial gamma-ray backgrounds using non-negative matrix factorization
Airborne gamma-ray surveys are useful for many applications, ranging from geology and
mining to public health and nuclear security. In all these contexts, the ability to decompose a …
mining to public health and nuclear security. In all these contexts, the ability to decompose a …