Articles by keywords "neural network"

Utilizing long short-term memory neural network for effective prediction of electrocardiosignals and pathology identification

Biophysics and medical physics
  • Year: 2025
  • Volume: 18
  • Issue: 3.2
  • 2
  • 204
  • Pages: 265-268

Direct photon asymmetries in the longitudinally polarized proton-proton collisions at energies from 9 to 27 GeV

Nuclear physics
  • Year: 2025
  • Volume: 18
  • Issue: 3
  • 32
  • 2297
  • Pages: 91-97

Direct photon asymmetries in the longitudinally polarized proton-proton collisions at an energy of 27 GeV

Nuclear physics
  • Year: 2025
  • Volume: 18
  • Issue: 1
  • 40
  • 3898
  • Pages: 142-148

Utilizing the convolutional neural network AlexNet to classify ultra-high resolution electrocardiosignals

Biophysics and medical physics
  • Year: 2024
  • Volume: 17
  • Issue: 3.2
  • 16
  • 2298
  • Pages: 292-296

Convolutional neural networks for image-free classification via single-pixel imaging

Physical optics
  • Year: 2024
  • Volume: 17
  • Issue: 3.2
  • 11
  • 2311
  • Pages: 217-220

Efficiency analysis of generative adversarial networks for single pixel imaging

Simulation of physical processes
  • Year: 2024
  • Volume: 17
  • Issue: 3.2
  • 5
  • 2470
  • Pages: 112-115

Improving compliance of brain MRI studies with the atlas using a modified TransMorph neural network

Mathematical physics
  • Year: 2024
  • Volume: 17
  • Issue: 3.1
  • 22
  • 2659
  • Pages: 335-339

A generative adversarial network as the basis for a semi-inclusive deep inelastic lepton scattering generator on a polarized proton

Nuclear physics
  • Year: 2024
  • Volume: 17
  • Issue: 1
  • 89
  • 3665
  • Pages: 93-102

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
  • 47
  • 3908
  • Pages: 189-197

A generator of deep inelastic lepton-proton scattering based on the Generative-Adversarial Network (GAN)

Nuclear physics
  • Year: 2023
  • Volume: 16
  • Issue: 4
  • 61
  • 3995
  • Pages: 181-188

Features of the construction photonic tensor cores for neural networks

Physical optics
  • Year: 2023
  • Volume: 16
  • Issue: 3.2
  • 29
  • 4292
  • Pages: 81-86

Testing the layout of the rail condition monitoring system using LSTM recurrent neural networks

Simulation of physical processes
  • Year: 2022
  • Volume: 15
  • Issue: 3.2
  • 21
  • 5583
  • Pages: 51-55

Application of convolutional neural networks to spin models studies

Simulation of physical processes
  • Year: 2022
  • Volume: 15
  • Issue: 3.1
  • 34
  • 5962
  • Pages: 87-92

Unified process of modeling of physicotechnical objects with distributed parameters

Simulation of physical processes
  • Year: 2010
  • Issue: 3
  • 0
  • 8901
  • Pages: 39-52

Clustering algorithms application to the representative sample  formation in the training of the multilayer perceptron

Mathematics
  • Year: 2017
  • Volume: 10
  • Issue: 2
  • 65
  • 8699
  • Pages: 58-68

Kohonen self-organizing map application to representative sample formation in the training of the multilayer perceptron

Mathematics
  • Year: 2016
  • Issue: 2
  • 380
  • 9342
  • Pages: 95-107

Fresh approaches to the construction of parameterized neural network solutions of a stiff differential equation

Mathematics
  • Year: 2015
  • Issue: 2
  • 395
  • 8971
  • Pages: 138-147

Predicting the parameters of energy installations with laser ignition: neural network models

Simulation of physical processes
  • Year: 2015
  • Issue: 2
  • 304
  • 9409
  • Pages: 19-29

Constructing of neural network emulator for control object

Mathematics
  • Year: 2011
  • Issue: 3
  • 0
  • 8206
  • Pages: 159-164

Parametrical neural network models of classical and nonclassical problems for heat conduction equation

Mathematics
  • Year: 2012
  • Issue: 3
  • 0
  • 9050
  • Pages: 136-144

The application of neural networks in the wavelet synthesis for the continuous wavelet transformation

Simulation of physical processes
  • Year: 2013
  • Issue: 1
  • 925
  • 10214
  • Pages: 38-44