Add to ORKGEnvironmental radiation monitoring systems are operated at every nuclear power plant site for an assurance of its safety, and their monitored data are used to support a decision-making process for an emergency response and environmental risk assessments. An environmenta
Before a radiation treatment on a cancer patient can get accomplished the treatment planning system ...
This project uses advanced modelling techniques to produce a design for a computer based advisory sy...
Gamma-ray spectral classification requires the automatic identification of a large background class ...
The development of nuclear technologies has directed environmental radioactivity research toward con...
Existing applications of artificial neural networks in physics research and development have been an...
The aim of this study was to determine spatial risk dispersion of ambient gamma dose rate (AGDR) by ...
Nuclear non-proliferation activities are an essential part of national security activities both dome...
An artificial neural network (ANN) model for the prediction of measuring uncertainties in gamma-ray ...
The paper presents some results of research work in the field of artificial neural networks (ANN) ap...
Airborne Gamma Ray Spectrometry (AGRS) with its important applications such as gathering radiation i...
Artificial neural networks (ANNs) are used to determine the state-of-health (SOH) of the Automated R...
A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. ...
An artificial neural network (ANN) model was used for the prediction of peak-to-background ratio (PB...
An environmental radiation monitoring system that continuously measures gamma dose rate around nucle...
We have developed prototype software for a facility-monitoring application that will detect anomalou...
Before a radiation treatment on a cancer patient can get accomplished the treatment planning system ...
This project uses advanced modelling techniques to produce a design for a computer based advisory sy...
Gamma-ray spectral classification requires the automatic identification of a large background class ...
The development of nuclear technologies has directed environmental radioactivity research toward con...
Existing applications of artificial neural networks in physics research and development have been an...
The aim of this study was to determine spatial risk dispersion of ambient gamma dose rate (AGDR) by ...
Nuclear non-proliferation activities are an essential part of national security activities both dome...
An artificial neural network (ANN) model for the prediction of measuring uncertainties in gamma-ray ...
The paper presents some results of research work in the field of artificial neural networks (ANN) ap...
Airborne Gamma Ray Spectrometry (AGRS) with its important applications such as gathering radiation i...
Artificial neural networks (ANNs) are used to determine the state-of-health (SOH) of the Automated R...
A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. ...
An artificial neural network (ANN) model was used for the prediction of peak-to-background ratio (PB...
An environmental radiation monitoring system that continuously measures gamma dose rate around nucle...
We have developed prototype software for a facility-monitoring application that will detect anomalou...
Before a radiation treatment on a cancer patient can get accomplished the treatment planning system ...
This project uses advanced modelling techniques to produce a design for a computer based advisory sy...
Gamma-ray spectral classification requires the automatic identification of a large background class ...