Simultaneous quantitative analysis of 3H and 14C radionuclides in aqueous samples via artificial neural network with a liquid scintillation counter

This publication has 21 references indexed in Scilit:

• A comparison of machine learning methods for automated gamma-ray spectroscopy
  Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2020
• Multi-radioisotope identification algorithm using an artificial neural network for plastic gamma spectra
  Applied Radiation and Isotopes, 2019
• An automated isotope identification and quantification algorithm for isotope mixtures in low-resolution gamma-ray spectra
  Radiation Physics and Chemistry, 2019
• Automated Isotope Identification Algorithm Using Artificial Neural Networks
  IEEE Transactions on Nuclear Science, 2017
• H-3 Measurement in Radioactive Wastes: Efficiency of the Pyrolysis Method to Extract Tritium from Aqueous Effluent, Oil, and Concrete
  Fusion Science and Technology, 2017
• Determination of neutron fluence-to-dose conversion coefficients by means of artificial neural networks
  Applied Radiation and Isotopes, 2014
• Medical image analysis with artificial neural networks
  Computerized Medical Imaging and Graphics, 2010
• Simultaneous measurement of 89Sr and 90Sr in aqueous samples by liquid scintillation counting using the spectrum unfolding method
  Applied Radiation and Isotopes, 2001
• Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
  Nature, 2000
• Multilayer feedforward networks are universal approximators
  Neural Networks, 1989