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06/14/2023
Imagery Tracking of Sun Activity Using 2D Circular Kernel Time Series Transformation, Entropy Measures and Machine Learning Approaches
The sun is highly complex in nature and its observatory imagery features...
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06/03/2023
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science
The study presents a bio-inspired chaos sensor model based on the percep...
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03/31/2023
Neural Network Entropy (NNetEn): EEG Signals and Chaotic Time Series Separation by Entropy Features, Python Package for NNetEn Calculation
Entropy measures are effective features for time series classification p...
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10/22/2022
Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers
Early evaluation of patients who require special care and high death exp...
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10/13/2022
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing
Approximation of entropies of various types using machine learning (ML) ...
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09/08/2022
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application
Healthcare digitalization needs effective methods of human sensorics, wh...
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01/07/2020
Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks
In the present paper, we report on the switching dynamics of both single...
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01/06/2020
Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators
We explore a prototype of an oscillatory neural network (ONN) based on v...
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04/10/2018
