Andrey Velichko

According to our database, Andrey Velichko authored at least 41 papers between 2016 and 2024.

Collaborative distances:

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

2024

Analysis of memristive maps with asymmetry.

Viet-Thanh Pham, Andrei Velichko, Van Van Huynh, Antonio Vincenzo Radogna, Giuseppe Grassi, Salah Mahmoud Boulaaras, Shaher Momani

Integr., January, 2024

Objective Features Extracted from Motor Activity Time Series for Food Addiction Analysis Using Machine Learning.

Mikhail Borisenkov, Andrei Velichko, Maksim Belyaev, Dmitry G. Korzun, Tatyana Tserne, Larisa Bakutova, Denis Gubin

CoRR, 2024

Entropy-statistical approach to phase-locking detection of pulse oscillations: application for the analysis of biosignal synchronization.

Petr Boriskov, Vadim Putrolaynen, Andrei Velichko, Kristina Peltonen

CoRR, 2024

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

Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends.

Andrei Velichko, Dmitry G. Korzun, Alexander Meigal

Sensors, 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

Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network.

Mehmet Tahir Huyut, Andrei Velichko

Sensors, 2022

NNetEn2D: Two-Dimensional Neural Network Entropy in Remote Sensing Imagery and Geophysical Mapping.

Andrei Velichko, Matthias P. Wagner, Alireza Taravat, Bruce Hobbs, Alison Ord

Remote. Sens., 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

A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values.

Mehmet Tahir Huyut, Andrei Velichko

CoRR, 2022

Novel techniques for improvement the NNetEn entropy calculation for short and noisy time series.

Hanif Heidari, Andrei Velichko

CoRR, 2022

Two-Dimensional Neural Network Entropy for Remote Sensing Image Analysis.

Andrei Velichko, Matthias P. Wagner, Alireza Taravat

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare.

Andrei Velichko

Sensors, 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

A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks.

Andrei Velichko, Hanif Heidari

Entropy, 2021

A method for estimating the entropy of time series using artificial neural network.

Andrei Velichko, Hanif Heidari

CoRR, 2021

An improved LogNNet classifier for IoT application.

Hanif Heidari, Andrei Velichko

CoRR, 2021

Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network.

Yuriy Izotov, A. A. Velichko, A. A. Ivshin, R. E. Novitskiy

CoRR, 2021

2020

Concept of LIF Neuron Circuit for Rate Coding in Spike Neural Networks.

Andrei Velichko, Petr Boriskov

IEEE Trans. Circuits Syst., 2020

Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map.

Andrei Velichko

CoRR, 2020

Reservoir Computing using High Order Synchronization of Coupled Oscillators.

A. A. Velichko, D. V. Ryabokon, S. D. Khanin, A. V. Sidorenko, A. G. Rikkiev

CoRR, 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

Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding.

Andrei Velichko, Petr Boriskov

CoRR, 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

Switch Elements with S-Shaped Current-Voltage Characteristic in Models of Neural Oscillators.

Petr Boriskov, Andrei Velichko

CoRR, 2019

A method for the classification of chimera states of coupled oscillators and its application for creating a neural network information converter.

Andrei Velichko

CoRR, 2019

Cloud Service for Interactive Simulation of Interregional Trade Flows.

Andrey Velichko, Valeriya V. Gribova, Leonid A. Fedorishchev

Autom. Control. Comput. Sci., 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

2016

Software System for Interactive Simulation of Interregional Trade.

Andrey Velichko, Valeriya V. Gribova, Leonid A. Fedorishchev

Proceedings of the Supplementary Proceedings of the 9th International Conference on Discrete Optimization and Operations Research and Scientific School (DOOR 2016), Vladivostok, Russia, September 19, 2016

Interregional Transportation Modeling for the Far East of Russia Macro-region.

Andrey Velichko

Proceedings of the Supplementary Proceedings of the 9th International Conference on Discrete Optimization and Operations Research and Scientific School (DOOR 2016), Vladivostok, Russia, September 19, 2016