2010 journal article

Intelligent method for sensor subset selection for machine olfaction

SENSORS AND ACTUATORS B-CHEMICAL, 145(1), 507–515.

By: E. Phaisangittisagul*, H. Nagle n & V. Areekul*

author keywords: Electronic noses (e-noses); Feature subset selection; Genetic algorithm (GA); Sensor subset selection; Transient feature extraction
TL;DR: A novel computationally efficient method is introduced by selecting the first few critical sensors based on a maximum margin criterion among different odor classes using a stochastic search algorithm, a genetic algorithm (GA), to optimize the sensor selection problem. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2008 journal article

Sensor selection for machine olfaction based on transient feature extraction

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 57(2), 369–378.

By: E. Phaisangittisagul n & H. Nagle n

author keywords: discrete wavelet transform (DWT); electric nose (e-nose); feature subset selection (FSS); multilevel decomposition; sensor subset selection; transient feature extraction
TL;DR: The transient features of an array of sensors obtained by applying a multiresolutional approximation technique from the discrete wavelet transform (DWT) are investigated to search for an optimal sensor array to be implemented in the e-nose system. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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