Machine Learning Techniques for Chemical Identification Using Cyclic Square Wave Voltammetry.

Dean, Scott N; Shriver-Lake, Lisa C; Stenger, David A; Erickson, Jeffrey S; Golden, Joel P; Trammell, Scott A

Dean, Scott N; Shriver-Lake, Lisa C; Stenger, David A; Erickson, Jeffrey S; Golden, Joel P; Trammell, Scott A.

Afiliação

Dean SN; National Research Council Postdoctoral Fellow, Washington, DC 20375, USA. scott.dean.ctr@nrl.navy.mil.
Shriver-Lake LC; U.S. Naval Research Laboratory, Center for Bio/Molecular Science & Engineering (Code 6900), 4555 Overlook Avenue SW, Washington, DC 20375, USA. lisa.shriverlake@nrl.navy.mil.
Stenger DA; U.S. Naval Research Laboratory, Center for Bio/Molecular Science & Engineering (Code 6900), 4555 Overlook Avenue SW, Washington, DC 20375, USA. david.stenger@nrl.navy.mil.
Erickson JS; U.S. Naval Research Laboratory, Center for Bio/Molecular Science & Engineering (Code 6900), 4555 Overlook Avenue SW, Washington, DC 20375, USA. jeffrey.erickson@nrl.navy.mil.
Golden JP; U.S. Naval Research Laboratory, Center for Bio/Molecular Science & Engineering (Code 6900), 4555 Overlook Avenue SW, Washington, DC 20375, USA. joel.golden@nrl.navy.mil.
Trammell SA; U.S. Naval Research Laboratory, Center for Bio/Molecular Science & Engineering (Code 6900), 4555 Overlook Avenue SW, Washington, DC 20375, USA. scott.trammell@nrl.navy.mil.

Sensors (Basel) ; 19(10)2019 May 25.

Article em En | MEDLINE | ID: mdl-31130606

Palavras-chave

cyclic square wave voltammetry; electrochemical detection; machine learning techniques

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article

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