Status of research and development of learning-based approaches in nuclear science and engineering: A review
Nuclear technology industries have increased their interest in using data-driven methods to
improve safety, reliability, and availability of assets. To do so, it is important to understand …
improve safety, reliability, and availability of assets. To do so, it is important to understand …
Quantitative analysis of NaI (Tl) gamma-ray spectrometry using an artificial neural network
In this manuscript, we propose an algorithm based on an artificial neural network (ANN) for
the analysis of the NaI (Tl) gamma-ray spectra with radioisotope (RI) mixtures to identify RIs …
the analysis of the NaI (Tl) gamma-ray spectra with radioisotope (RI) mixtures to identify RIs …
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 …
A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data
The detection of illicit radiological materials is critical to establishing a robust second line of
defence in nuclear security. Neutron-capture prompt-gamma activation analysis (PGAA) can …
defence in nuclear security. Neutron-capture prompt-gamma activation analysis (PGAA) can …
Precise gamma-ray spectrum stabilization using full spectral information
One of the most important steps in recording, processing and analyzing gamma-ray spectra
is stabilizing the measured spectrum. Baseline shifts and gain changes of any origin …
is stabilizing the measured spectrum. Baseline shifts and gain changes of any origin …
Analysis of complex gamma-ray spectra using particle swarm optimization
Abstract Analysis of gamma-ray spectra is an important step for identification and
quantification of radionuclides in a sample. In this paper a new gamma-ray spectra analysis …
quantification of radionuclides in a sample. In this paper a new gamma-ray spectra analysis …
Survey of Machine Learning Approaches in Radiation Data Analytics Pertained to Nuclear Security
The increasing concerns over the use of nuclear materials for malevolent purposes (ie,
terrorist attacks) have fueled the interest in develo** technologies that can detect hidden …
terrorist attacks) have fueled the interest in develo** technologies that can detect hidden …