Search Results - "Belyaev, Maksim"
-
1
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson’s Disease
Published in Sensors (Basel, Switzerland) (20-10-2023)“…This study presents the concept of a computationally efficient machine learning (ML) model for diagnosing and monitoring Parkinson’s disease (PD) using…”
Get full text
Journal Article -
2
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application
Published in Sensors (Basel, Switzerland) (01-10-2022)“…Healthcare digitalization requires effective applications of human sensors, when various parameters of the human body are instantly monitored in everyday life…”
Get full text
Journal Article -
3
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science
Published in Sensors (Basel, Switzerland) (01-08-2023)“…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…”
Get full text
Journal Article -
4
Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers
Published in Applied sciences (01-12-2022)“…Early evaluation of patients who require special care and who have high death-expectancy in COVID-19, and the effective determination of relevant biomarkers on…”
Get full text
Journal Article -
5
Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-Switch
Published in Entropy (Basel, Switzerland) (01-11-2022)“…This paper presents a model and experimental study of a chaotic spike oscillator based on a leaky integrate-and-fire (LIF) neuron, which has a switching…”
Get full text
Journal Article -
6
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing
Published in Remote sensing (Basel, Switzerland) (01-12-2022)“…Approximation of entropies of various types using machine learning (ML) regression methods are shown for the first time. The ML models presented in this study…”
Get full text
Journal Article -
7
Higher-order and long-range synchronization effects for classification and computing in oscillator-based spiking neural networks
Published in Neural computing & applications (01-04-2021)“…In the circuit of two thermally coupled VO 2 oscillators, we studied a higher-order synchronization effect, which can be used in object classification…”
Get full text
Journal Article -
8
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation
Published in Algorithms (01-05-2023)“…Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability…”
Get full text
Journal Article -
9
Modeling of thermal coupling in VO 2 -based oscillatory neural networks
Published in Solid-state electronics (01-01-2018)Get full text
Journal Article -
10
Electron-beam modification and electrical property recovery dynamics of vanadium dioxide films in semiconducting and metallic phases
Published in Japanese Journal of Applied Physics (01-05-2015)“…In this paper we investigate electron-beam modification and the process of subsequent recovery of phase transition parameters of VO2-based films within 20-100…”
Get full text
Journal Article -
11
Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators
Published in Solid-state electronics (01-03-2018)“…•Thermal coupling of two oscillators based on vanadium dioxide switching devices is observed.•Effective action radius RTC of thermal coupling varies over a…”
Get full text
Journal Article -
12
Electrical switching and oscillations in vanadium dioxide
Published in Physica. B, Condensed matter (01-05-2018)“…We have studied electrical switching with S-shaped I-V characteristics in two-terminal MOM devices based on vanadium dioxide thin films. The switching effect…”
Get full text
Journal Article -
13
Modeling of thermal coupling in VO2-based oscillatory neural networks
Published in Solid-state electronics (01-01-2018)“…•Thermal coupling is proposed to connect VO2 switches in oscillatory neural networks.•Synchronization and dissynchronization regimes are explored in the…”
Get full text
Journal Article -
14
Automated image analysis for evaluation of wafer backside chipping
Published in International journal of advanced manufacturing technology (01-11-2018)“…When a silicon wafer is cut into separate dies, their front and back sides might have chipping resulting in die cracks and yield loss. To prevent defect…”
Get full text
Journal Article -
15
Detection of Right Ventricular Dysfunction Using LogNNet Neural Network Model Based on Pulmonary Embolism Data Set
Published in Eastern journal of medicine (01-01-2024)“…The high association of right ventricular dysfunction (RVD) with mortality in patients with acute pulmonary embolism (PE) remains an important health problem…”
Get full text
Journal Article -
16
Field-effect modulation of resistance in VO2 thin film at lower temperature
Published in Japanese Journal of Applied Physics (01-11-2014)“…In this paper we describe a prototype of a field effect transistor (FET) based on the Mott metal-insulator transition (MIT) in vanadium dioxide. It has been…”
Get full text
Journal Article -
17
Field-effect modulation of resistance in VO 2 thin film at lower temperature
Published in Japanese Journal of Applied Physics (01-11-2014)Get full text
Journal Article -
18
Field-effect modulation of resistance in VO sub(2) thin film at lower temperature
Published in Japanese Journal of Applied Physics (01-01-2014)“…In this paper we describe a prototype of a field effect transistor (FET) based on the Mott metal-insulator transition (MIT) in vanadium dioxide. It has been…”
Get full text
Journal Article -
19
Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment
Published 28-08-2023“…The study presents the concept of a computationally efficient machine learning (ML) model for diagnosing and monitoring Parkinson's disease (PD) in an Internet…”
Get full text
Journal Article -
20
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science
Published 15-08-2023“…Sensors 2023, 23, 7137 The study presents a bio-inspired chaos sensor model based on the perceptron neural network for the estimation of entropy of spike train…”
Get full text
Journal Article