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20182026
most citedMachine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application

49 citations · 272 across the 13 of their papers we have counts for

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Showing 2023Show all

4 papers · 1 filter

eess.SP2023

Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment

Maksim Belyaev, Murugappan Murugappan, Andrei Velichko +1

The study presents the concept of a computationally efficient machine learning (ML) model for diagnosing and monitoring Parkinson's disease (PD) in an Internet of Things (IoT) envi…

astro-ph.SR2023

Solar Active Regions Detection Via 2D Circular Kernel Time Series Transformation, Entropy and Machine Learning Approach

Irewola Aaron Oludehinwa, Andrei Velichko, Maksim Belyaev +1

This study proposes an enhancement to the existing method for detecting Solar Active Regions (ARs). Our technique tracks ARs using images from the Atmospheric Imaging Assembly (AIA…

cs.LG2023

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 +1

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. After training, th…

cs.LG202318 cited

Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation

Andrei Velichko, Maksim Belyaev, Yuriy Izotov +2

Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. Howev…