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Detecting explosives by PGNAA using KNN Regressors and decision tree classifier: A proof of concept

  • Published:2020-06 Issue: Volume:124 Page:103332
  • ISSN:0149-1970
  • Container-title:Progress in Nuclear Energy
  • language:en
  • Short-container-title:Progress in Nuclear Energy

Author:

Hossny K.,Magdi S.,Soliman Abdelfattah Y.,Hossny Ahmad Hany

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering

Reference20 articles.

1. Genetic algorithm for nuclear data evaluation applied to subcritical neutron multiplication inference benchmark experiments;Arthur;Ann. Nucl. Energy,2019

2. Study of the associated particle imaging technique for the hidden explosives identification;Bystritsky,2003

3. Existing and Potential Standoff Explosives Detection Techniques;Council,2004

4. Application of the weighted k-nearest neighbor algorithm for short-term load forecasting;Fan;Energies,2019

5. Artificial neural network algorithms for pulse shape discrimination and recovery of piled-up pulses in organic scintillators;Fu;Ann. Nucl. Energy,2018

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