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Maksim Belyaev

Showing results (1-10 of 7) with videos related to

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Chaos (Woodbury, N.Y.)|October 1, 2025
A novel approach for estimating largest Lyapunov exponents in one-dimensional chaotic time series using machine learningAndrei Velichko, Maksim Belyaev, Petr Boriskov
Entropy (Basel, Switzerland)|November 24, 2022
Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-SwitchPetr Boriskov, Andrei Velichko, Nikolay Shilovsky, et al.
Sensors (Basel, Switzerland)|October 28, 2023
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's DiseaseMaksim Belyaev, Murugappan Murugappan, Andrei Velichko, et al.
Sensors (Basel, Switzerland)|August 26, 2023
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-ScienceAndrei Velichko, Petr Boriskov, Maksim Belyaev, et al.
Sensors (Basel, Switzerland)|October 27, 2022
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things ApplicationAndrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, et al.
Scientific Reports|July 12, 2025
Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithmsMehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, et al.
Artificial Intelligence in Medicine|December 23, 2025
Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluationMehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Chaos (Woodbury, N.Y.)|October 1, 2025
A novel approach for estimating largest Lyapunov exponents in one-dimensional chaotic time series using machine learningAndrei Velichko, Maksim Belyaev, Petr Boriskov
Entropy (Basel, Switzerland)|November 24, 2022
Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-SwitchPetr Boriskov, Andrei Velichko, Nikolay Shilovsky, et al.
Sensors (Basel, Switzerland)|October 28, 2023
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's DiseaseMaksim Belyaev, Murugappan Murugappan, Andrei Velichko, et al.
Sensors (Basel, Switzerland)|August 26, 2023
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-ScienceAndrei Velichko, Petr Boriskov, Maksim Belyaev, et al.
Sensors (Basel, Switzerland)|October 27, 2022
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things ApplicationAndrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, et al.
Scientific Reports|July 12, 2025
Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithmsMehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, et al.
Artificial Intelligence in Medicine|December 23, 2025
Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluationMehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, et al.
Pageof 1