Support vector machine classification of volatile organic compounds based on narrow-band spectroscopic data-Reference-Cited by-同舟云学术

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Support vector machine classification of volatile organic compounds based on narrow-band spectroscopic data

Published:2014-07-14 Issue:1 Volume:29 Page:38-48
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Argyris Apostolos¹,Filippi Jean-Jacques²,Syvridis Dimitris¹

Affiliation:

1. Department of Informatics and Telecommunications; National and Kapodistrian University of Athens; Panepistimiopolis 15784 Athens Greece

2. Institut de Chimie de Nice; Université de Nice Sophia Antipolis; UMR 7272 CNRS, Parc Valrose 06108 Nice France

Funder

European Commission

Seventh Framework Programme's (FP7)

DOGGIES

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cem.2660/fullpdf

Reference51 articles.

1. NATO Science Series;Schubert,2004

2. Theisen L Hannum DW Murray DW Parmeter JE Survey of commercially available explosives detection technologies and equipment National Institute of Justice 2004

3. Standoff detection of weapons and contraband in the 100 GHz to 1 THz region;Appleby;IEEE Trans. Antennas Propag.,2007

4. Sheen DM Bernacki B McMakin D Advanced millimeter-wave security portal imaging techniques (invited paper) Proc SPIE 2012 8259

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