Stand-off Hyperspectral Raman Imaging and Random Decision Forest Classification: A Potent Duo for the Fast, Remote Identification of Explosives.

Gasser, Christoph; Göschl, Michael; Ofner, Johannes; Lendl, Bernhard

Gasser, Christoph; Göschl, Michael; Ofner, Johannes; Lendl, Bernhard.

Afiliação

Gasser C; Institute of Chemical Technologies and Analytics , TU Wien , Getreidemarkt 9/164 , 1060 Vienna , Austria.
Göschl M; Institute of Chemical Technologies and Analytics , TU Wien , Getreidemarkt 9/164 , 1060 Vienna , Austria.
Ofner J; Institute of Chemical Technologies and Analytics , TU Wien , Getreidemarkt 9/164 , 1060 Vienna , Austria.
Lendl B; Institute of Chemical Technologies and Analytics , TU Wien , Getreidemarkt 9/164 , 1060 Vienna , Austria.

Anal Chem ; 91(12): 7712-7718, 2019 06 18.

Article em En | MEDLINE | ID: mdl-31081317

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Idioma: En Revista: Anal Chem Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Áustria

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