Andrei Velichko

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Entropy Measure

Machine Learning

Top Venues

Publications

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 (2024)
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 (2024)
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 (2023)
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) (2023)
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 (2023)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
Andrei Velichko, Dmitry G. Korzun, Alexander Meigal
Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends. Sensors 23 (10) (2023)
Mehmet Tahir Huyut, Andrei Velichko
Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network. Sensors 22 (13) (2022)
Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry Korzun
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. CoRR (2022)
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 (2022)
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) (2022)
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 (2022)
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) (2022)
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) (2022)
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 (2022)
Hanif Heidari, Andrei Velichko
Novel techniques for improvement the NNetEn entropy calculation for short and noisy time series. CoRR (2022)
Andrei Velichko, Matthias P. Wagner, Alireza Taravat
Two-Dimensional Neural Network Entropy for Remote Sensing Image Analysis. IGARSS (2022)
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) (2022)
Hanif Heidari, Andrei Velichko
An improved LogNNet classifier for IoT application. CoRR (2021)
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) (2021)
Andrei Velichko
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare. CoRR (2021)
Andrei Velichko, Hanif Heidari
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks. Entropy 23 (11) (2021)
Andrei Velichko, Hanif Heidari
A method for estimating the entropy of time series using artificial neural network. CoRR (2021)
Andrei Velichko
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare. Sensors 21 (18) (2021)
Andrei Velichko
Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map. CoRR (2020)
Andrei Velichko, Petr Boriskov
Concept of LIF Neuron Circuit for Rate Coding in Spike Neural Networks. IEEE Trans. Circuits Syst. (12) (2020)
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 (2020)
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 (2020)
Petr Boriskov, Andrei Velichko
Switch Elements with S-Shaped Current-Voltage Characteristic in Models of Neural Oscillators. CoRR (2019)
Andrei Velichko
A method for the classification of chimera states of coupled oscillators and its application for creating a neural network information converter. CoRR (2019)
Andrei Velichko, Petr Boriskov
Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding. CoRR (2019)