Add to ORKGCosmic radiation is an ionizing radiation produced when primary protons and a particles from outside the solar system interact with components of the earth's atmosphere. Cosmic radiation is a general term for radiation produced by high-energy subatomic particles from outer space and, more importantly, secondary (ionizing) radiation from the sun and high-energy subatomic particles that react with nitrogen, oxygen, and other elements in the atmosphere. In this study, Deep Neural Networks (DNNs) via Multilayer Perceptrons (MLPs) were used to estimate the radiation doses due to cosmic radiation for different domestic flights related with Istanbul and Ankara Airports in Turkey. Dose values were calculated with the CARI-7A program and DNNs. The p...
Convolutional neural network (CNN) type artificial intelligences were trained to estimate the Cerenk...
The study of “external†radiation called cosmic radiation that strikes the earth from anywhere be...
With the utilization of machine learning, computers have been able to efficiently classify data. Dee...
© 2022, Publishing House of the Romanian Academy. All rights reserved.Sixteen machine learning metho...
Sixteen machine learning methods including K-Nearest-Neighbor, Random Forest, Additive Regression, L...
Recently, the use of mobile devices has been proposed for dose assessment during nuclear accidents. ...
The radiation field at flight altitudes is generated by the interaction of the primary cosmic radiat...
Environmental radiation monitoring systems are operated at every nuclear power plant site for an ass...
A data analysis based on artificial neural network classifiers has been done to identify cosmic ray ...
This study creates a database on incoming solar radiation using artificial neural networks (ANN) and...
Abstract Radiation exposure due to cosmic rays, specifically at cruising aviation altitudes, is an ...
[ 1] Near-Earth space processes are highly nonlinear. Since the 1990s, a small group at the Middle E...
A data analysis based on artificial neural network classifiers has been done to identify cosmic ray ...
In recent years, radiation mapping has attracted widespread research interest along with increasing ...
Existing applications of artificial neural networks in physics research and development have been an...
Convolutional neural network (CNN) type artificial intelligences were trained to estimate the Cerenk...
The study of “external†radiation called cosmic radiation that strikes the earth from anywhere be...
With the utilization of machine learning, computers have been able to efficiently classify data. Dee...
© 2022, Publishing House of the Romanian Academy. All rights reserved.Sixteen machine learning metho...
Sixteen machine learning methods including K-Nearest-Neighbor, Random Forest, Additive Regression, L...
Recently, the use of mobile devices has been proposed for dose assessment during nuclear accidents. ...
The radiation field at flight altitudes is generated by the interaction of the primary cosmic radiat...
Environmental radiation monitoring systems are operated at every nuclear power plant site for an ass...
A data analysis based on artificial neural network classifiers has been done to identify cosmic ray ...
This study creates a database on incoming solar radiation using artificial neural networks (ANN) and...
Abstract Radiation exposure due to cosmic rays, specifically at cruising aviation altitudes, is an ...
[ 1] Near-Earth space processes are highly nonlinear. Since the 1990s, a small group at the Middle E...
A data analysis based on artificial neural network classifiers has been done to identify cosmic ray ...
In recent years, radiation mapping has attracted widespread research interest along with increasing ...
Existing applications of artificial neural networks in physics research and development have been an...
Convolutional neural network (CNN) type artificial intelligences were trained to estimate the Cerenk...
The study of “external†radiation called cosmic radiation that strikes the earth from anywhere be...
With the utilization of machine learning, computers have been able to efficiently classify data. Dee...