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Andrei Velichko

9PUBLICATIONS
8CO-AUTHORS
Deep learningNeural networksIntelligent roboticsCircuits and systemsPattern recognition
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Publications (9)

Sort by Publication Date:
|Oct 01, 2025
A novel approach for estimating largest Lyapunov exponents in one-dimensional chaotic time series using machine learning.

Andrei Velichko, Maksim Belyaev, Petr Boriskov

|Oct 28, 2023
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease.

Maksim Belyaev, Murugappan Murugappan, Andrei Velichko

|Aug 26, 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

|Jul 11, 2023
Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends.

Andrei Velichko, Dmitry Korzun, Alexander Meigal

|Nov 24, 2022
Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-Switch.

Petr Boriskov, Andrei Velichko, Nikolay Shilovsky

|Oct 27, 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

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Frequent Collaborators

3 joint publications

Dmitry Korzun

3 joint publications

Petr Boriskov

2 joint publications

Mehmet Tahir Huyut

2 joint publications

Maksim Belyaev

1 joint publications

Hanif Heidari

1 joint publications

Alexander Meigal

1 joint publications

Vadim Putrolaynen

1 joint publications

Murugappan Murugappan

Frequent Collaborators

3 joint publications

Dmitry Korzun

3 joint publications

Petr Boriskov

2 joint publications

Mehmet Tahir Huyut

2 joint publications

Maksim Belyaev

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