The choice of spectral similarity algorithms influences suspected soil sample provenance.

Zeng R, Rossiter DG, Zhao YG, Li DC, Liu F, Zheng GH, Zhang GL.

Open source

DOI
10.1016/j.forsciint.2023.111688
Published
2023-04-12
Container
Forensic Sci Int
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.forsciint.2023.111688,
  title = {The choice of spectral similarity algorithms influences suspected soil sample provenance.},
  author = {Zeng R and  Rossiter DG and  Zhao YG and  Li DC and  Liu F and  Zheng GH and  Zhang GL.},
  year = {2023},
  journal = {Forensic Sci Int},
  doi = {10.1016/j.forsciint.2023.111688},
  url = {https://doi.org/10.1016/j.forsciint.2023.111688}
}

RIS

TY  - JOUR
TI  - The choice of spectral similarity algorithms influences suspected soil sample provenance.
AU  - Zeng R
AU  -  Rossiter DG
AU  -  Zhao YG
AU  -  Li DC
AU  -  Liu F
AU  -  Zheng GH
AU  -  Zhang GL.
PY  - 2023
JO  - Forensic Sci Int
DO  - 10.1016/j.forsciint.2023.111688
UR  - https://doi.org/10.1016/j.forsciint.2023.111688
ER  - 

APA

R, Z., DG, R., YG, Z., DC, L., F, L., GH, Z., & GL., Z. (2023). The choice of spectral similarity algorithms influences suspected soil sample provenance.. Forensic Sci Int. https://doi.org/10.1016/j.forsciint.2023.111688

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