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Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers
TLDR
This paper presents a systematic design approach for constructing neural classifiers that are capable of classifying human activities using a triaxial accelerometer. Expand
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Online classifier construction algorithm for human activity detection using a tri-axial accelerometer
TLDR
This paper presents an online construction algorithm for constructing fuzzy basis function (FBF) classifiers that are capable of recognizing different types of human daily activities using a tri-axial accelerometer. Expand
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A fully automated recurrent neural network for unknown dynamic system identification and control
TLDR
This paper presents a fully automated recurrent neural network (FARNN) that is capable of self-structuring its network in a minimal representation with satisfactory performance for unknown dynamic system identification and control. Expand
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Activity Recognition Using One Triaxial Accelerometer: A Neuro-fuzzy Classifier with Feature Reduction
TLDR
This paper presents a neuro-fuzzy classifer for activity recognition using one triaxial accelerometer and feature reduction approaches. Expand
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Improving the collection efficiency of the liquid impinger for ultrafine particles and viral aerosols by applying granular bed filtration
Abstract Liquid impingers are utilized to collect bioaerosols for many advantages, such as avoiding dehydration of biological agents. However, many previous studies have reported that the liquidExpand
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A novel recurrent neural network with minimal representation for dynamic system identification
TLDR
This paper presents a self-adaptive learning algorithm for dynamic system identification using a novel recurrent neural network with minimal representation. Expand
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Canine Tick-Borne Diseases: 48 Cases
Forty-eight cases affected with naturally acquired tick-borne pathogens were studied. In this series, pathogens of tick-borne diseases included Babesia gibsoni (33/48, 68.8%), Babesia canis (4/48,Expand
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A Hammerstein Recurrent Neurofuzzy Network With an Online Minimal Realization Learning Algorithm
TLDR
This paper presents a Hammerstein recurrent neurofuzzy network associated with an online minimal realization learning algorithm for dealing with nonlinear dynamic applications. Expand
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A hybrid predictor for time series prediction
TLDR
This paper presents a hybrid predictor consisting of two models - a kernel regression model and a recurrent neuro-fuzzy model. Expand
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An Automated Hammerstein Recurrent Neural Network for Dynamic Applications
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