A Data-Driven Approach to Model the Generation Process of Bloodstain Patterns

dc.contributor.author Zou, Tong
dc.contributor.author Stern, Hal
dc.contributor.department Center for Statistics and Applications in Forensic Evidence
dc.date.accessioned 2022-11-08T15:56:45Z
dc.date.available 2022-11-08T15:56:45Z
dc.date.issued 2022
dc.description.comments The following poster was presented at the 106th International Association for Identification (IAI) Annual Educational Conference, Omaha, Nebraska, July 31-August 6, 2022. Posted with permission of CSAFE.
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1wgeNbAr
dc.language.iso en
dc.publisher Copyright 2022, The Authors
dc.subject.disciplines DegreeDisciplines::Social and Behavioral Sciences::Legal Studies::Forensic Science and Technology
dc.title A Data-Driven Approach to Model the Generation Process of Bloodstain Patterns
dc.type Presentation
dspace.entity.type Publication
relation.isOrgUnitOfPublication d8a3c72b-850f-40f6-87c4-8812547080c7
File
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
IAI2022poster-Zou.pdf
Size:
1.16 MB
Format:
Adobe Portable Document Format
Description: