Features selection and substitution in PEM fuel cell water management failures diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "Fuel Cells"
DOI: 10.1002/fuce.202100045
Abstract: A data‐driven strategy considering sensor reliability and cost is presented for polymer electrolyte membrane fuel cell (PEMFC) fault diagnosis. An increase of pressure drop in the flow field is a reliable indicator of PEMFC flooding… read more here.
Keywords: features selection; fuel cell; pressure; diagnosis ... See more keywords
Stomach Deformities Recognition Using Rank-Based Deep Features Selection
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DOI: 10.1007/s10916-019-1466-3
Abstract: Doctor utilizes various kinds of clinical technologies like MRI, endoscopy, CT scan, etc., to identify patient’s deformity during the review time. Among set of clinical technologies, wireless capsule endoscopy (WCE) is an advanced procedures used… read more here.
Keywords: deformities recognition; features selection; stomach deformities; recognition using ... See more keywords
An Improved Equilibrium Optimizer Algorithm for Features Selection: Methods and Analysis
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DOI: 10.1109/access.2021.3108097
Abstract: In the last decade, data generated from different digital devices has posed a remarkable challenge for data representation and analysis. Because of the high-dimensional datasets and the rapid growth of data volume, a lot of… read more here.
Keywords: optimization; features selection; optimizer algorithm; equilibrium optimizer ... See more keywords
Population Initialization Factor in Binary Multi-Objective Grey Wolf Optimization for Features Selection
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DOI: 10.1109/access.2022.3218056
Abstract: Features selection methods not only reduce the dimensionality, but also improve significantly the classification results. In this study, the effect of the initialization population using the population factor has been explored. There are twenty wolves… read more here.
Keywords: multi objective; grey wolf; objective grey; features selection ... See more keywords