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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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05/20/2022
A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values
Since February-2020, the world has embarked on an intense struggle with ...
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02/25/2022
Novel techniques for improvement the NNetEn entropy calculation for short and noisy time series
Entropy is a fundamental concept of information theory. It is widely use...
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08/05/2021
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare
Edge computing is a fast-growing and much needed technology in healthcar...
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07/18/2021
A method for estimating the entropy of time series using artificial neural network
Measuring the predictability and complexity of time series is an essenti...
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05/30/2021
An improved LogNNet classifier for IoT application
The internet of things devices suffer of low memory while good accuracy ...
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06/04/2020
Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map
The study presents a neural network, which uses filters based on logisti...
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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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11/23/2019
Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding
The study presents an oscillator circuit for a spike neural network with...
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06/06/2019
A Method for Evaluating Chimeric Synchronization of Coupled Oscillators and Its Application for Creating a Neural Network Information Converter
This paper presents a new method for evaluating the synchronization of q...
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06/06/2019