Add to ORKGAccepted for publication in Nuclear Instruments and Methods in Physics Research ABiblioteca Centrale CNR / CNR - Consiglio Nazionale delle RichercheSIGLEITItal
The authors report the development of an automatic image analysis system that detects gamma-ray sour...
The new generation of nuclear physics detectors that used to study nuclear reactions is considering ...
Environmental radiation monitoring systems are operated at every nuclear power plant site for an ass...
The Belle II experiment, located at the SuperKEKB e+e- collider inJapan, uses pulse shape analysis t...
Artificial neural network (ANN) has recently been used for the analysis of gamma-ray spectrum. The A...
In this research the effectiveness of analytical neural networks compared to the maximum likelihood ...
Radionuclide identification is an important part of the nuclear material identification system. The ...
International audienceGamma-ray astronomy in the energy range from 0.1 up to 100 MeV holds many unde...
Nuclear non-proliferation activities are an essential part of national security activities both dome...
A neural mapping is developed to improve the overall performance of Tilecal, which is the hadronic c...
An artificial neural network (ANN) model for the prediction of measuring uncertainties in gamma-ray ...
Layered Neural Networds, which are a class of models based on neural computation, are applied to the...
We report the implementation of a deep convolutional neural network to train a high-resolution room-...
The proper characterization of an X-ray unit is necessary for the utilization of the source as a dos...
In this thesis the verification of a neural network’s proficiency at labeling ionizing radiation par...
The authors report the development of an automatic image analysis system that detects gamma-ray sour...
The new generation of nuclear physics detectors that used to study nuclear reactions is considering ...
Environmental radiation monitoring systems are operated at every nuclear power plant site for an ass...
The Belle II experiment, located at the SuperKEKB e+e- collider inJapan, uses pulse shape analysis t...
Artificial neural network (ANN) has recently been used for the analysis of gamma-ray spectrum. The A...
In this research the effectiveness of analytical neural networks compared to the maximum likelihood ...
Radionuclide identification is an important part of the nuclear material identification system. The ...
International audienceGamma-ray astronomy in the energy range from 0.1 up to 100 MeV holds many unde...
Nuclear non-proliferation activities are an essential part of national security activities both dome...
A neural mapping is developed to improve the overall performance of Tilecal, which is the hadronic c...
An artificial neural network (ANN) model for the prediction of measuring uncertainties in gamma-ray ...
Layered Neural Networds, which are a class of models based on neural computation, are applied to the...
We report the implementation of a deep convolutional neural network to train a high-resolution room-...
The proper characterization of an X-ray unit is necessary for the utilization of the source as a dos...
In this thesis the verification of a neural network’s proficiency at labeling ionizing radiation par...
The authors report the development of an automatic image analysis system that detects gamma-ray sour...
The new generation of nuclear physics detectors that used to study nuclear reactions is considering ...
Environmental radiation monitoring systems are operated at every nuclear power plant site for an ass...