Toward Developing Techniques—Agnostic Machine Learning Classification Models for Forensically Relevant Glass Fragments

[Image: see text] Glass fragments found in crime scenes may constitute important forensic evidence when properly analyzed, for example, to determine their origin. This analysis could be greatly helped by having a large and diverse database of glass fragments and by using it for constructing reliable...

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Detalles Bibliográficos
Autores principales: Kaspi, Omer, Israelsohn-Azulay, Osnat, Yigal, Zidon, Rosengarten, Hila, Krmpotić, Matea, Gouasmia, Sabrina, Bogdanović Radović, Iva, Jalkanen, Pasi, Liski, Anna, Mizohata, Kenichiro, Räisänen, Jyrki, Kasztovszky, Zsolt, Harsányi, Ildikó, Acharya, Raghunath, Pujari, Pradeep K., Mihály, Molnár, Braun, Mihaly, Shabi, Nahum, Girshevitz, Olga, Senderowitz, Hanoch
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832481/
https://www.ncbi.nlm.nih.gov/pubmed/36512692
http://dx.doi.org/10.1021/acs.jcim.2c01362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832481/
https://www.ncbi.nlm.nih.gov/pubmed/36512692
http://dx.doi.org/10.1021/acs.jcim.2c01362

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