Keele Research Repository
Explore the Repository
Tools
Moore, H, Butcher, J, Day, CR and Drijfhout, F (2017) Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species. Forensic Science International. ISSN 1872-6283

There is a more recent version of this item available.
Preview
F Drijfhout - Adult fly age estimations using cuticular hydrocarbons....pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (1MB) | Preview
Official URL: http://www.sciencedirect.com/science/article/pii/S...
Item Type: | Article |
---|---|
Additional Information: | This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Elsevier at http://dx.doi.org/10.1016/j.forsciint.2017.10.001 - please refer to any applicable terms of use of the publisher. |
Uncontrolled Keywords: | adult blowflies, artificial neural networks, cuticular hydrocarbons, post mortem interval, principal component analysis |
Subjects: | Q Science > Q Science (General) Q Science > QD Chemistry |
Divisions: | Faculty of Natural Sciences > School of Chemical and Physical Sciences |
Depositing User: | Symplectic |
Date Deposited: | 09 Oct 2017 08:37 |
Last Modified: | 08 Oct 2018 01:30 |
URI: | https://eprints.keele.ac.uk/id/eprint/4078 |
Available Versions of this Item
- Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species. (deposited 09 Oct 2017 08:37) [Currently Displayed]
Actions (login required)
Altmetric