Comparison among different algorithms in classifying explosives using OFETs

Vapour phase detection of explosives using pattern recognition approaches is a very important area of research worldwide. This paper elaborates on the comparison between different algorithms in classifying empirical multiparametric data that are obtained from the explosive vapor sensors based on org...

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Veröffentlicht in:	Sensors and actuators. B, Chemical Chemical, 2013-01, Vol.176, p.46-51
Hauptverfasser:	Surya, Sandeep G., Dudhe, Ravishankar S., Saluru, Deepak, Koora, Bharath Kumar, Sharma, Dinesh K., Rao, V. Ramgopal
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification decision support systems Decision trees Detectors Explosives Field effect transistors J48 decision tree LWL NBS OFET prediction Samples Sensors SMO Statistical methods vapors
Online-Zugang:	Volltext
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