no code implementations • 28 Aug 2023 • Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry Korzun
We computed different types of entropy from EEG signals and found that Fuzzy Entropy performed the best in diagnosing and monitoring PD using rs-EEG.
no code implementations • 14 Jun 2023 • Irewola Aaron Oludehinwa, Andrei Velichko, Maksim Belyaev, Olasunkanmi I. Olusola
In this study, we developed a technique of tracking the sun's activity using 2D circular kernel time series transformation, statistical and entropy measures, with machine learning approaches.
no code implementations • 3 Jun 2023 • Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen
The study presents a bio-inspired chaos sensor model based on the perceptron neural network for the estimation of entropy of spike train in neurodynamic systems.
1 code implementation • 31 Mar 2023 • Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari
Entropy measures are effective features for time series classification problems.
no code implementations • 22 Oct 2022 • Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev
Furthermore, in the HGB model operated with a single feature, the most efficient features were procalcitonin (F1^2 = 0. 96) and ferritin (F1^2 = 0. 91).
no code implementations • 13 Oct 2022 • Andrei Velichko, Maksim Belyaev, Matthias P. Wagner, Alireza Taravat
The results of entropy approximation are demonstrated using the example of calculating the 2D entropy of Sentinel-2 images and R^2 metric evaluation.
no code implementations • 8 Sep 2022 • Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry Korzun
In particular, machine learning (ML) sensors for the prompt diagnosis of COVID-19 are an important option for IoT application in healthcare and ambient assisted living (AAL).
no code implementations • 7 Jan 2020 • Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Alexander Pergament, Valentin Perminov
In the present paper, we report on the switching dynamics of both single and coupled VO2-based oscillators, with resistive and capacitive coupling, and explore the capability of their application in oscillatory neural networks.
no code implementations • 7 Jan 2020 • Alexander Pergament, Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen
With a decrease in dimensions, a decrease in the thermal coupling action radius is observed, which can vary in the range from 0. 5 to 50 {\mu}m for structures with characteristic dimensions of 0. 1 to 5 {\mu}m, respectively.
Applied Physics Disordered Systems and Neural Networks
no code implementations • 6 Jan 2020 • Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Valentin Perminov, Alexander Pergament
In the case of a "weak" coupling, synchronization is accompanied by attraction effect and decrease of the main spectra harmonics width.
no code implementations • 10 Apr 2018 • Andrei Velichko, Vadim Putrolaynen, Maksim Belyaev
In the circuit of two thermally coupled VO2 oscillators, we studied a higher order synchronization effect, which can be used in object classification techniques to increase the number of possible synchronous states of the oscillator system.