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ORCIDAndrey Velichko
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Journal Articles
- 2025
[j16]Viet-Thanh Pham, Jesús M. Muñoz-Pacheco, Andrei Velichko, Salah Mahmoud Boulaaras, Shaher Momani:
A compact structure for triple-memristor maps with a hyperplane of fixed points. Integr. 101: 102334 (2025)- 2024
- [j15]Viet-Thanh Pham, Andrei Velichko, Van Van Huynh
, Antonio Vincenzo Radogna, Giuseppe Grassi, Salah Mahmoud Boulaaras, Shaher Momani:
Analysis of memristive maps with asymmetry. Integr. 94: 102110 (2024) - 2023
- [j14]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) - [j13]Andrei Velichko, Dmitry G. Korzun, Alexander Meigal:
Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends. Sensors 23(10): 4853 (2023) - [j12]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) - [j11]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) - 2022
- [j10]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) - [j9]Andrei Velichko, Matthias P. Wagner, Alireza Taravat, Bruce Hobbs, Alison Ord:
NNetEn2D: Two-Dimensional Neural Network Entropy in Remote Sensing Imagery and Geophysical Mapping. Remote. Sens. 14(9): 2166 (2022) - [j8]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) - [j7]Mehmet Tahir Huyut, Andrei Velichko:
Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network. Sensors 22(13): 4820 (2022) - [j6]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) - 2021
- [j5]Andrei Velichko, Hanif Heidari:
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks. Entropy 23(11): 1432 (2021) - [j4]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) - [j3]Andrei Velichko:
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare. Sensors 21(18): 6209 (2021) - 2020
- [j2]Andrei Velichko, Petr Boriskov:
Concept of LIF Neuron Circuit for Rate Coding in Spike Neural Networks. IEEE Trans. Circuits Syst. 67-II(12): 3477-3481 (2020) - 2019
- [j1]Andrey Velichko, Valeriya V. Gribova, Leonid A. Fedorishchev:
Cloud Service for Interactive Simulation of Interregional Trade Flows. Autom. Control. Comput. Sci. 53(7): 811-820 (2019)
Conference and Workshop Papers
- 2022
- [c3]Andrei Velichko, Matthias P. Wagner, Alireza Taravat:
Two-Dimensional Neural Network Entropy for Remote Sensing Image Analysis. IGARSS 2022: 1952-1954 - 2016
- [c2]Andrey Velichko, Valeriya V. Gribova, Leonid A. Fedorishchev:
Software System for Interactive Simulation of Interregional Trade. DOOR (Supplement) 2016: 383-393 - [c1]Andrey Velichko:
Interregional Transportation Modeling for the Far East of Russia Macro-region. DOOR (Supplement) 2016: 394-403
Informal and Other Publications
- 2024
- [i26]Petr Boriskov, Vadim Putrolaynen, Andrei Velichko, Kristina Peltonen:
Entropy-statistical approach to phase-locking detection of pulse oscillations: application for the analysis of biosignal synchronization. CoRR abs/2406.12906 (2024) - [i25]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
- [i24]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) - [i23]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) - [i22]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) - [i21]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
- [i20]Hanif Heidari, Andrei Velichko:
Novel techniques for improvement the NNetEn entropy calculation for short and noisy time series. CoRR abs/2202.12703 (2022) - [i19]Mehmet Tahir Huyut, Andrei Velichko:
A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values. CoRR abs/2205.09974 (2022) - [i18]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) - [i17]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) - [i16]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
- [i15]Yuriy Izotov, A. A. Velichko, A. A. Ivshin, R. E. Novitskiy:
Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network. CoRR abs/2105.02953 (2021) - [i14]Hanif Heidari, Andrei Velichko:
An improved LogNNet classifier for IoT application. CoRR abs/2105.14412 (2021) - [i13]Andrei Velichko, Hanif Heidari:
A method for estimating the entropy of time series using artificial neural network. CoRR abs/2107.08399 (2021) - [i12]Andrei Velichko:
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare. CoRR abs/2108.02428 (2021) - 2020
- [i11]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) - [i10]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) - [i9]A. A. Velichko, D. V. Ryabokon, S. D. Khanin, A. V. Sidorenko, A. G. Rikkiev:
Reservoir Computing using High Order Synchronization of Coupled Oscillators. CoRR abs/2004.04114 (2020) - [i8]Andrei Velichko:
Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map. CoRR abs/2006.02824 (2020) - 2019
- [i7]Andrei Velichko:
A method for the classification of chimera states of coupled oscillators and its application for creating a neural network information converter. CoRR abs/1906.02680 (2019) - [i6]Petr Boriskov, Andrei Velichko:
Switch Elements with S-Shaped Current-Voltage Characteristic in Models of Neural Oscillators. CoRR abs/1908.01855 (2019) - [i5]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) - [i4]Maksim Belyaev, A. A. Velichko:
Capacitorless Model of a VO2 Oscillator. CoRR abs/1911.06983 (2019) - [i3]Andrei Velichko, Petr Boriskov:
Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding. CoRR abs/1911.10351 (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)
Coauthor Index
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