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ORCIDMaksim Belyaev
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2020 – today
- 2024
[i14]Mikhail Borisenkov, Andrei Velichko, Maksim Belyaev, Dmitry G. Korzun, Tatyana Tserne, Larisa Bakutova, Denis Gubin:
Objective Features Extracted from Motor Activity Time Series for Food Addiction Analysis Using Machine Learning. CoRR abs/2409.00310 (2024)- 2023
- [j8]Andrei Velichko
, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari:
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation. Algorithms 16(5): 255 (2023) - [j7]Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen:
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science. Sensors 23(16): 7137 (2023) - [j6]Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun:
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease. Sensors 23(20): 8609 (2023) - [i13]Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari:
Neural Network Entropy (NNetEn): EEG Signals and Chaotic Time Series Separation by Entropy Features, Python Package for NNetEn Calculation. CoRR abs/2303.17995 (2023) - [i12]Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen:
A Bio-Inspired Chaos Sensor Based on the Perceptron Neural Network: Concept and Application for Computational Neuro-science. CoRR abs/2306.01991 (2023) - [i11]Irewola Aaron Oludehinwa, Andrei Velichko, Maksim Belyaev, Olasunkanmi I. Olusola:
Imagery Tracking of Sun Activity Using 2D Circular Kernel Time Series Transformation, Entropy Measures and Machine Learning Approaches. CoRR abs/2306.08270 (2023) - [i10]Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun:
Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment. CoRR abs/2309.07134 (2023) - 2022
- [j5]Petr Boriskov, Andrei Velichko, Nikolay Shilovsky, Maksim Belyaev:
Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-Switch. Entropy 24(11): 1693 (2022) - [j4]Andrei Velichko, Maksim Belyaev, Matthias P. Wagner, Alireza Taravat:
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing. Remote. Sens. 14(23): 5983 (2022) - [j3]Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry G. Korzun:
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. Sensors 22(20): 7886 (2022) - [i9]Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry G. Korzun:
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. CoRR abs/2209.03522 (2022) - [i8]Andrei Velichko, Maksim Belyaev, Matthias P. Wagner, Alireza Taravat:
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing. CoRR abs/2210.06901 (2022) - [i7]Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev:
Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers. CoRR abs/2210.12342 (2022) - 2021
- [j2]Andrei Velichko, Vadim Putrolaynen, Maksim Belyaev:
Higher-order and long-range synchronization effects for classification and computing in oscillator-based spiking neural networks. Neural Comput. Appl. 33(8): 3113-3131 (2021) - 2020
- [i6]Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Valentin Perminov, Alexander Pergament:
Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators. CoRR abs/2001.01382 (2020) - [i5]Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Alexander Pergament, Valentin Perminov:
Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks. CoRR abs/2001.01854 (2020)
2010 – 2019
- 2019
- [j1]Sergey Podryadchikov, Vadim Putrolaynen, Maksim Belyaev, Mikhail Chuvstvin, Igor Tabachnik:
FPGA-based testing system of NAND-memory multi-chip modules. Microelectron. J. 83: 73-76 (2019) - [i4]Andrey Velichko, Maksim Belyaev, D. V. Ryabokon, S. D. Khanin:
The non-capacitor model of leaky integrate-and-fire VO2 neuron with the thermal mechanism of the membrane potential. CoRR abs/1911.02547 (2019) - [i3]Maksim Belyaev, A. A. Velichko:
Capacitorless Model of a VO2 Oscillator. CoRR abs/1911.06983 (2019) - 2018
- [i2]Andrey Velichko, Vadim Putrolaynen, Maksim Belyaev:
Effects of Higher Order and Long-Range Synchronizations for Classification and Computing in Oscillator-Based Spiking Neural Networks. CoRR abs/1804.03395 (2018) - [i1]Andrey Velichko, Maksim Belyaev, Petr Boriskov:
Model of an oscillatory neural network with multilevel neurons for pattern recognition. CoRR abs/1806.03079 (2018)
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