Abstract:
:This paper introduces a new, innovative approach to pre-crash velocity determination, namely the artificial neural networks. A perceptron based on a database obtained from NHTSA (National Highway Traffic Safety Administration) with numerous data concerning frontal vehicle crash tests: i.e. vehicle mass, deformation zone and deformation coefficients C1-C6. Part of the database entries were used to train the network to develop consistent accuracy and the remainder was used as validation and training sets.
journal_name
Forensic Sci Intjournal_title
Forensic science internationalauthors
Mrowicki A,Krukowski M,Turoboś F,Kubiak Pdoi
10.1016/j.forsciint.2020.110179subject
Has Abstractpub_date
2020-03-01 00:00:00pages
110179eissn
0379-0738issn
1872-6283pii
S0379-0738(20)30041-4journal_volume
308pub_type
杂志文章abstract::We developed a q-PCR technique that simultaneously evaluates the extent of degradation and determines the gender of a human DNA donor. QYDEG HRM is a triplex real-time PCR whose products are analysed by high-resolution melting (HRM). The system produces three amplicons: (1) transducin (beta)-like 1, Y-linked (TBL1Y) (...
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