Spectral feature selection and classification of roofing materials using field spectroscopy data

2015 ◽  
Vol 9 (1) ◽  
pp. 095079 ◽  
Author(s):  
Sarah Hanim Samsudin ◽  
Helmi Z. M. Shafri ◽  
Alireza Hamedianfar ◽  
Shattri Mansor
Keyword(s):  
Feature Selection ◽  
Spectral Feature ◽  
Spectroscopy Data ◽  
Field Spectroscopy ◽  
Spectral Feature Selection ◽  
Roofing Materials

Quality based classification of gasoline samples by ATR-FTIR spectrometry using spectral feature selection with quadratic discriminant analysis

Fuel ◽  
2013 ◽  
Vol 111 ◽  
pp. 96-102 ◽  
Author(s):  
Mohammadreza Khanmohammadi ◽  
Amir Bagheri Garmarudi ◽  
Keyvan Ghasemi ◽  
Miguel de la Guardia
Keyword(s):  
Feature Selection ◽  
Discriminant Analysis ◽  
Spectral Feature ◽  
Quadratic Discriminant Analysis ◽  
Ftir Spectrometry ◽  
Spectral Feature Selection

LIBS development methodology for forensic nuclear materials analysis

2018 ◽  
Vol 10 (7) ◽  
pp. 791-798 ◽  
Author(s):  
Bobby Bhatt ◽  
Kalambuka Hudson Angeyo ◽  
Alix Dehayem-Kamadjeu
Keyword(s):  
Feature Selection ◽  
Spectral Feature ◽  
Forensic Analysis ◽  
Nuclear Materials ◽  
Methodology Development ◽  
Materials Analysis ◽  
Development Methodology ◽  
Selection For ◽  
Spectral Feature Selection ◽  
Nuclear Forensic

Methodology development of LIBS coupled with chemometrics utilizing weak U-lines and spectral feature selection for rapid nuclear forensic analysis.

Genetic algorithm spectral feature selection coupled with quadratic discriminant analysis for ATR-FTIR spectrometric diagnosis of basal cell carcinoma via blood sample analysis

RSC Advances ◽  
2014 ◽  
Vol 4 (78) ◽  
pp. 41484-41490 ◽  
Author(s):  
Mohammadreza Khanmohammadi ◽  
Keyvan Ghasemi ◽  
Amir Bagheri Garmarudi
Keyword(s):  
Genetic Algorithm ◽  
Feature Selection ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Basal Cell ◽  
Spectral Feature ◽  
Quadratic Discriminant Analysis ◽  
Sample Analysis ◽  
Blood Samples ◽  
Spectral Feature Selection

A diagnostic approach for basal cell carcinoma (BCC) has been developed based on investigation of the infrared spectra of blood samples.

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