Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data
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DOI: 10.1038/s41598-020-64643-8
Abstract: Conventional inclusion criteria used in osteoarthritis clinical trials are not very effective in selecting patients who would benefit from a therapy being tested. Typically majority of selected patients show no or limited disease progression during… read more here.
Keywords: progression; multi classifier; selection; knee osteoarthritis ... See more keywords
Blade icing detection of wind turbine based on multi-feature and multi-classifier fusion
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DOI: 10.1177/0309524x221075590
Abstract: Wind farms are usually located in high altitude areas with a high probability of ice occurrence. Blade icing has the potential to result in unexpected mechanical failures and downtimes. In order to avoid these problems,… read more here.
Keywords: fusion; blade icing; multi classifier; wind ... See more keywords
THz-ATR Spectroscopy Integrated with Species Recognition Based on Multi-Classifier Voting for Automated Clinical Microbial Identification
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DOI: 10.3390/bios12060378
Abstract: The demand for rapid and accurate identification of microorganisms is growing due to considerable importance in all areas related to public health and safety. Here, we demonstrate a rapid and label-free strategy for the identification… read more here.
Keywords: thz atr; spectroscopy; identification; based multi ... See more keywords
Multi-Classifier Fusion Based on MI–SFFS for Cross-Subject Emotion Recognition
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DOI: 10.3390/e24050705
Abstract: With the widespread use of emotion recognition, cross-subject emotion recognition based on EEG signals has become a hot topic in affective computing. Electroencephalography (EEG) can be used to detect the brain’s electrical activity associated with… read more here.
Keywords: cross subject; emotion recognition; subject emotion; multi classifier ... See more keywords
Multi-Classifier Decision-Level Fusion Classification of Workpiece Surface Defects Based on a Convolutional Neural Network
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DOI: 10.3390/sym12050867
Abstract: Various defects are formed on the workpiece surface during the production process. Workpiece surface defects are classified according to various characteristics, which includes a bumped surface, scratched surface and pit surface. Suppliers analyze the cause… read more here.
Keywords: decision; multi classifier; classification; surface defects ... See more keywords