Publications by authors named "Andrei Velichko"

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Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluation.
Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Mustafa Tosun

Artif Intell Med· December 2025

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Author Correction: Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms.
Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Şebnem Karaoğlanoğlu

Sci Rep· December 2025

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A novel approach for estimating largest Lyapunov exponents in one-dimensional chaotic time series using machine learning.
Andrei Velichko, Maksim Belyaev, Petr Boriskov

Chaos· October 2025

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Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms.
Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Şebnem Karaoğlanoğlu

Sci Rep· July 2025

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Corrigendum to "LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19" [MethodsX 10 (2023) 102194].
Mehmet Tahir Huyut, Andrei Velichko

MethodsX· June 2025

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Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease.
Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry Korzun

Sensors (Basel)· October 2023

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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 (Basel)· August 2023

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Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends.
Andrei Velichko, Dmitry Korzun, Alexander Meigal

Sensors (Basel)· May 2023

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LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19.
Mehmet Tahir Huyut, Andrei Velichko

MethodsX· April 2023

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Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-Switch.
Petr Boriskov, Andrei Velichko, Nikolay Shilovsky, Maksim Belyaev

Entropy (Basel)· November 2022

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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 Korzun

Sensors (Basel)· October 2022

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Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network.
Mehmet Tahir Huyut, Andrei Velichko

Sensors (Basel)· June 2022

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A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks.
Andrei Velichko, Hanif Heidari

Entropy (Basel)· October 2021

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

Sensors (Basel)· September 2021

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Rapid early development of circumarctic peatlands and atmospheric CH4 and CO2 variations.
Glen M Macdonald, David W Beilman, Konstantine V Kremenetski, Yongwei Sheng, Laurence C Smith, Andrei A Velichko

Science· October 2006

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