Article or book title, author's surname, DOI

O.V. Nepomnyashchy

О.В. Непомнящий

15 articles 2012–2026

2026

  1. The integrated method of machine learning used to identify side effects of polypragmasia Science Intensive Technologies, No. 2, 2026 pp. 22-31
  2. An intelligent control method of ground unmanned vehicles Nonlinear World, No. 1, 2026 pp. 36-45

2024

  1. Application of convolutional neural network and evolutionary algorithm to predict the outcome of adverse drug interactions Neurocomputers, No. 4, 2024 pp. 45-55
  2. Tensor decomposition method and neural network model for identifying side effects of polypragmasy Achievements of Modern Radioelectronics, No. 4, 2024 pp. 43-51
  3. Convolutional neural network and deep machine learning for ECG analysis Achievements of Modern Radioelectronics, No. 3, 2024 pp. 70-77

2023

  1. Model of the adaptive system based on an artificial neural network for digital electric motor control Science Intensive Technologies, No. 6, 2023 pp. 43-51
  2. Application of the reversible step-up and step-down pulse converter as a charging and discharging device in an autonomous system of electric power supply Radioengineering, No. 8, 2023 pp. 155-162
  3. The use of convolutional neural network in the analysis of electrocardiograms Neurocomputers, No. 2, 2023 pp. 58-65

2021

  1. Low-loss bidirectional buck-boost DC-DC converter Achievements of Modern Radioelectronics, No. 8, 2021 pp. 43-50
  2. Model of a neural network adaptive system for a digital control loop of an electric drive Science Intensive Technologies, No. 2, 2021 pp. 34-42

2019

  1. Structural method for reducing random component of ADC components error Achievements of Modern Radioelectronics, No. 1, 2019 pp. 56-62

2015

  1. Solid state memory modules for on-board equipment of small satellites Science Intensive Technologies, No. 3, 2015 pp. 71-76
  2. The multidimensional spatial videocoding for the satellite channels of small spacecraft Science Intensive Technologies, No. 3, 2015 pp. 66-70

2013

  1. Suppression of acoustic feedback based on the cross-correlation function Nonlinear World, No. 5, 2013 pp. 317-322

2012

  1. Method of suppression of acoustic feedback on the basis of the digital filter of preliminary calculation of a signal of correction Information-measuring and Control Systems, No. 3, 2012 pp. 19-22