Data analysis for electronic nose systems
SM Scott, D James, Z Ali - Microchimica Acta, 2006 - Springer
Electronic noses (e-noses) employ an array of chemical gas sensors and have been widely
used for the analysis of volatile organic compounds. Pattern recognition provides a higher …
used for the analysis of volatile organic compounds. Pattern recognition provides a higher …
Classification of Camellia (Theaceae) Species Using Leaf Architecture Variations and Pattern Recognition Techniques
Leaf characters have been successfully utilized to classify Camellia (Theaceae) species;
however, leaf characters combined with supervised pattern recognition techniques have not …
however, leaf characters combined with supervised pattern recognition techniques have not …
A fast VQ codebook generation algorithm via pattern reduction
In this paper, we present a simple but fast codebook generation algorithm, called PREGLA
(Pattern Reduction Enhanced GLA). The proposed algorithm is fundamentally different from …
(Pattern Reduction Enhanced GLA). The proposed algorithm is fundamentally different from …
Developing smart Tele-ECG system for early detection and monitoring heart diseases based on ECG signal: progress and challenges
Technology is developed to benefit society. One of the applications of technology in the
healthcare sector is telehealth monitoring system. The system proposes a new way of …
healthcare sector is telehealth monitoring system. The system proposes a new way of …
Arrhytmia classification using fuzzy-neuro generalized learning vector quantization
IMA Setiawan, EM Imah… - … Conference on Advanced …, 2011 - ieeexplore.ieee.org
Automatic heart beats classification has attracted much interest for research recently and we
are interested to determine the type of arrhythmia from electrocardiogram (ECG) signal …
are interested to determine the type of arrhythmia from electrocardiogram (ECG) signal …
A new fuzzy learning vector quantization method for classification problems based on a granular approach
J Amezcua, P Melin - Granular Computing, 2019 - Springer
In this paper, a new Fuzzy Learning Vector Quantization (FuzzLVQ) method for classification
is presented. FuzzLVQ is a hybrid method based on LVQ neural networks and fuzzy …
is presented. FuzzLVQ is a hybrid method based on LVQ neural networks and fuzzy …
Artificial odor discrimination system using multiple quartz resonator sensors and various neural networks for recognizing fragrance mixtures
An electronic odor discrimination system had been developed by using four quartz resonator-
sensitive membranes basic-resonance frequencies at 10 MHz as a sensor and analyzed the …
sensitive membranes basic-resonance frequencies at 10 MHz as a sensor and analyzed the …
Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data …
One of the open challenges in machine learning is multi-modal data classification. A
classifier model needs to be enhanced to deal with multi-modal data. This study is proposed …
classifier model needs to be enhanced to deal with multi-modal data. This study is proposed …
FNGLVQ FPGA design for sleep stages classification based on electrocardiogram signal
M Fajar, W Jatmiko, IM Agus - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Commonly sleep stages detection can be done using electroencephalogram (EEG) that is
recorded in hospitals using Polysomnography (PSG) systems. PSG not only records brain …
recorded in hospitals using Polysomnography (PSG) systems. PSG not only records brain …
PSO algorithm for single and multiple odor sources localization problems: progress and challenge
Odor sensing technology in robotic research introduce two research field namely odor
recognition and odor source localization. Odor source localization research also includes …
recognition and odor source localization. Odor source localization research also includes …