Articles by keywords "machine learning"

Simulation of semi-inclusive deep inelastic lepton scattering on a proton at energies of 20 – 100 GeV on the basis of the Generative-Adversarial Neural Network

Nuclear physics
  • Year: 2023
  • Volume: 16
  • Issue: 4
  • 11
  • 508
  • Pages: 189-197

Development of an algorithm for predicting the strength of laser reconstruction of biological tissue

Biophysics and medical physics
  • Year: 2023
  • Volume: 16
  • Issue: 3.2
  • 0
  • 399
  • Pages: 338-343

Features of the construction photonic tensor cores for neural networks

Physical optics
  • Year: 2023
  • Volume: 16
  • Issue: 3.2
  • 2
  • 465
  • Pages: 81-86

Machine learning models to find unobservable centrality-related parameter values in collisions of different nuclei in the initial energy range from 40 to 200 GeV

Nuclear physics
  • Year: 2023
  • Volume: 16
  • Issue: 2
  • 16
  • 1123
  • Pages: 121-131

Machine learning models to determine unobservable centrality-related parameter values for a wide range of nuclear systems at the energy of 200 GeV

Nuclear physics
  • Year: 2023
  • Volume: 16
  • Issue: 2
  • 23
  • 1310
  • Pages: 111-120

Application of machine learning approach for turbulence model improvement for flow around airfoil near stall conditions

Simulation of physical processes
  • Year: 2023
  • Volume: 16
  • Issue: 1.1
  • 19
  • 1222
  • Pages: 236-242

New method of processing measurement results of tissue oxygen saturation abnormalities

Physical optics
  • Year: 2022
  • Volume: 15
  • Issue: 3.2
  • 15
  • 1564
  • Pages: 206-211