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Andrei Velichko

Showing results (1-10 of 13) with videos related to

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Sensors (Basel, Switzerland)|September 28, 2021
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in HealthcareAndrei Velichko
Entropy (Basel, Switzerland)|November 27, 2021
A Method for Estimating the Entropy of Time Series Using Artificial Neural NetworksAndrei Velichko, Hanif Heidari
Methodsx|May 1, 2023
LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19Mehmet Tahir Huyut, Andrei Velichko
Sensors (Basel, Switzerland)|July 9, 2022
Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural NetworkMehmet Tahir Huyut, Andrei Velichko
Methodsx|January 13, 2025
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
Sensors (Basel, Switzerland)|July 11, 2023
Artificial Neural Networks for IoT-Enabled Smart Applications: Recent TrendsAndrei Velichko, Dmitry Korzun, Alexander Meigal
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
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.
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.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|September 28, 2021
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in HealthcareAndrei Velichko
Entropy (Basel, Switzerland)|November 27, 2021
A Method for Estimating the Entropy of Time Series Using Artificial Neural NetworksAndrei Velichko, Hanif Heidari
Methodsx|May 1, 2023
LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19Mehmet Tahir Huyut, Andrei Velichko
Sensors (Basel, Switzerland)|July 9, 2022
Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural NetworkMehmet Tahir Huyut, Andrei Velichko
Methodsx|January 13, 2025
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
Sensors (Basel, Switzerland)|July 11, 2023
Artificial Neural Networks for IoT-Enabled Smart Applications: Recent TrendsAndrei Velichko, Dmitry Korzun, Alexander Meigal
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
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.
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.
Pageof 2