Show simple item record

dc.contributor.authorKranenburg, Ruben F
dc.contributor.authorVerduin, Joshka
dc.contributor.authorWeesepoel, Yannick
dc.contributor.authorAlewijn, Martin
dc.contributor.authorHeerschop, Marcel
dc.contributor.authorKoomen, Ger
dc.contributor.authorKeizers, Peter
dc.contributor.authorBakker, Frank
dc.contributor.authorWallace, Fionn
dc.contributor.authorvan Esch, Annette
dc.contributor.authorHulsbergen, Annemieke
dc.contributor.authorvan Asten, Arian C
dc.date.accessioned2020-07-17T08:39:56Z
dc.date.available2020-07-17T08:39:56Z
dc.date.issued2020-07-07
dc.identifier.issn1942-7611
dc.identifier.pmid32638519
dc.identifier.doi10.1002/dta.2895
dc.identifier.urihttp://hdl.handle.net/10029/623971
dc.language.isoenen_US
dc.subjectcocaineen_US
dc.subjectindicative testingen_US
dc.subjectk-Nearest Neighborsen_US
dc.subjectmachine learningen_US
dc.subjectnear-infrareden_US
dc.titleRapid and Robust On-Scene Detection of Cocaine in Street Samples using a Handheld Near Infrared Spectrometer and Machine Learning Algorithms.en_US
dc.typeArticleen_US
dc.identifier.journalDrug Test Anal 2020; 12(10):1404-18en_US
dc.source.journaltitleDrug testing and analysis


This item appears in the following Collection(s)

Show simple item record