Maksim Belyaev

According to our database, Maksim Belyaev authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease.

Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun

Sensors, October, 2023

A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science.

Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen

Sensors, August, 2023

Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment.

Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun

CoRR, 2023

Imagery Tracking of Sun Activity Using 2D Circular Kernel Time Series Transformation, Entropy Measures and Machine Learning Approaches.

Irewola Aaron Oludehinwa, Andrei Velichko, Maksim Belyaev, Olasunkanmi I. Olusola

CoRR, 2023

A Bio-Inspired Chaos Sensor Based on the Perceptron Neural Network: Concept and Application for Computational Neuro-science.

Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen

CoRR, 2023

Neural Network Entropy (NNetEn): EEG Signals and Chaotic Time Series Separation by Entropy Features, Python Package for NNetEn Calculation.

Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari

CoRR, 2023

Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation.

Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari

Algorithms, 2023

2022

Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing.

Andrei Velichko, Maksim Belyaev, Matthias P. Wagner, Alireza Taravat

Remote. Sens., December, 2022

Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-Switch.

Petr Boriskov, Andrei Velichko, Nikolay Shilovsky, Maksim Belyaev

Entropy, November, 2022

Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application.

Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry G. Korzun

Sensors, 2022

Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers.

Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev

CoRR, 2022

2021

Higher-order and long-range synchronization effects for classification and computing in oscillator-based spiking neural networks.

Andrei Velichko, Vadim Putrolaynen, Maksim Belyaev

Neural Comput. Appl., 2021

2020

Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks.

Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Alexander Pergament, Valentin Perminov

CoRR, 2020

Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators.

Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Valentin Perminov, Alexander Pergament

CoRR, 2020

2019

FPGA-based testing system of NAND-memory multi-chip modules.

Sergey Podryadchikov, Vadim Putrolaynen, Maksim Belyaev, Mikhail Chuvstvin, Igor Tabachnik

Microelectron. J., 2019

Capacitorless Model of a VO2 Oscillator.

Maksim Belyaev, A. A. Velichko

CoRR, 2019

The non-capacitor model of leaky integrate-and-fire VO₂ neuron with the thermal mechanism of the membrane potential.

Andrey Velichko, Maksim Belyaev, D. V. Ryabokon, S. D. Khanin

CoRR, 2019

2018

Model of an oscillatory neural network with multilevel neurons for pattern recognition.

Andrey Velichko, Maksim Belyaev, Petr Boriskov

CoRR, 2018

Effects of Higher Order and Long-Range Synchronizations for Classification and Computing in Oscillator-Based Spiking Neural Networks.

Andrey Velichko, Vadim Putrolaynen, Maksim Belyaev

CoRR, 2018