Voltammetric e-Tongue Based on a Single Sensor and Variable Selection for the Classification of Teas

2018 ◽  
Vol 11 (7) ◽  
pp. 1958-1968 ◽  
Author(s):  
Dayvison R. Rodrigues ◽  
Diana S. M. de Oliveira ◽  
Marcio J. C. Pontes ◽  
Sherlan G. Lemos
Keyword(s):  
Variable Selection ◽  
Single Sensor ◽  
Selection For

Variable selection for the classification of postoperative cardiac patients

1991 ◽  
Vol 27 (3-4) ◽  
pp. 201-213 ◽  
Author(s):  
E. Artioli ◽  
G. Avanzolini ◽  
P. Barbini ◽  
G. Gnudi
Keyword(s):  
Variable Selection ◽  
Cardiac Patients ◽  
Selection For

Multicriteria variable selection for classification of production batches

2012 ◽  
Vol 218 (1) ◽  
pp. 97-105 ◽  
Author(s):  
Michel J. Anzanello ◽  
Susan L. Albin ◽  
Wanpracha A. Chaovalitwongse
Keyword(s):  
Variable Selection ◽  
Selection For

scholarly journals Simultaneous variable selection for the classification of near infrared spectra

2021 ◽  
Vol 211 ◽  
pp. 104268
Author(s):  
Leila Belmerhnia ◽  
El-Hadi Djermoune ◽  
Cédric Carteret ◽  
David Brie
Keyword(s):  
Variable Selection ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Near Infrared Spectra ◽  
Selection For

Classification of cervical cytology for human papilloma virus (HPV) infection using biospectroscopy and variable selection techniques

2014 ◽  
Vol 6 (24) ◽  
pp. 9643-9652 ◽  
Author(s):  
Kássio M. G. Lima ◽  
Ketan Gajjar ◽  
George Valasoulis ◽  
Maria Nasioutziki ◽  
Maria Kyrgiou ◽  
...  
Keyword(s):  
Variable Selection ◽  
Human Papilloma Virus ◽  
Hpv Infection ◽  
Cervical Cytology ◽  
Classification Analysis ◽  
Papilloma Virus ◽  
Selection For

Cervical cytology collection towards spectral acquisition followed by variable selection for classification analysis.

Using class-based feature selection for the classification of hyperspectral data

2011 ◽  
Vol 32 (15) ◽  
pp. 4311-4326 ◽  
Author(s):  
Yasser Maghsoudi ◽  
Mohammad Javad Valadan Zoej ◽  
Michael Collins
Keyword(s):  
Feature Selection ◽  
Hyperspectral Data ◽  
Selection For
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