default search action
Andrey Velichko
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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) - [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
- [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) - [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
- [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) - [c3]Andrei Velichko, Matthias P. Wagner, Alireza Taravat:
Two-Dimensional Neural Network Entropy for Remote Sensing Image Analysis. IGARSS 2022: 1952-1954 - [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
- [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) - [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
- [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) - [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)
2010 – 2019
- 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) - [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) - 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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-08 20:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint