Learning algorithms to evaluate forensic glass evidence

Volume: 13, Issue: 2
Published: Jun 1, 2019
Abstract
Glass fragments are often compared in the course of a forensic evaluation using their chemical composition determined with technologies such as LA-ICP-MS. At present forensic scientists advocate the use of two comparison criteria based on univariate intervals around all mean elemental concentrations for fragments originating from a known piece of broken glass. The main drawback of this approach is that it does not consider the dependencies...
Paper Details
Title
Learning algorithms to evaluate forensic glass evidence
Published Date
Jun 1, 2019
Volume
13
Issue
2
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