Objectifying evidence evaluation for gunshot residue comparisons using machine learning on criminal case data-Reference-Cited by-同舟云学术

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Objectifying evidence evaluation for gunshot residue comparisons using machine learning on criminal case data

Published:2022-06 Issue: Volume:335 Page:111293
ISSN:0379-0738
Container-title:Forensic Science International
language:en
Short-container-title:Forensic Science International

Author:

Matzen Timo,Kukurin Corina,van de Wetering Judith,Ariëns Simone,Bosma Wauter,Knijnenberg Alwin,Stamouli Amalia,Ypma Rolf JF

Publisher

Elsevier BV

Subject

Pathology and Forensic Medicine,Law

Reference36 articles.

1. Chemical Analysis of Firearms;Wallace,2018

2. Detection of gunshot residue by use of the scanning electron microscope;Nesbitt;J. Forensic Sci.,1976

3. E30 Committee, Practice for gunshot residue analysis by scanning electron microscopy/energy dispersive X-ray spectrometry, ASTM International, West Conshohocken, PA, 2020. https://doi.org/10.1520/e1588–20.

4. The identification of gunshot residue particles from lead-free sintox ammunition;Gunaratnam;J. Forensic Sci.,1994

5. SEM/EDS analysis and characterization of gunshot residues from Brazilian lead-free ammunition;Martiny;Forensic Sci. Int.,2008

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1. Fusing linguistic and acoustic information for automated forensic speaker comparison;Science & Justice;2024-09

2. An overview of log likelihood ratio cost in forensic science – Where is it used and what values can we expect?;Forensic Science International: Synergy;2024

3. Transfer and persistence studies of inorganic and organic gunshot residues using synthetic skin membranes;Forensic Chemistry;2023-07

4. Elemental Characterization of Leaded and Lead-Free Inorganic Primer Gunshot Residue Standards Using Single Particle Inductively Coupled Plasma Time-of-Flight Mass Spectrometry;Applied Spectroscopy;2022-11-29

5. An Approach to Criminal Suspect Prediction Software using Machine Learning Classifiers;2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2022-11-04

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