A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint (2022)
- Authors:
- Autor USP: BARBOSA JUNIOR, FERNANDO - FCFRP
- Unidade: FCFRP
- DOI: 10.1080/08839514.2021.2010941
- Subjects: CIÊNCIAS JURÍDICAS; SOLO AGRÍCOLA; CLUSTERS; MINERAÇÃO DE DADOS; DATILOSCOPIA
- Language: Inglês
- Imprenta:
- Source:
- Título: Applied Artificial Intelligence
- ISSN: 0883-9514
- Volume/Número/Paginação/Ano: v. 36, n. 1, art. e2010941, p. 1-20, 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
MAIONE, Camila et al. A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint. Applied Artificial Intelligence, v. 36, n. 1, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1080/08839514.2021.2010941. Acesso em: 09 jan. 2026. -
APA
Maione, C., Costa, N. L. da, Barbosa Júnior, F., & Barbosa, R. M. (2022). A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint. Applied Artificial Intelligence, 36( 1), 1-20. doi:10.1080/08839514.2021.2010941 -
NLM
Maione C, Costa NL da, Barbosa Júnior F, Barbosa RM. A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint [Internet]. Applied Artificial Intelligence. 2022 ; 36( 1): 1-20.[citado 2026 jan. 09 ] Available from: https://doi.org/10.1080/08839514.2021.2010941 -
Vancouver
Maione C, Costa NL da, Barbosa Júnior F, Barbosa RM. A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint [Internet]. Applied Artificial Intelligence. 2022 ; 36( 1): 1-20.[citado 2026 jan. 09 ] Available from: https://doi.org/10.1080/08839514.2021.2010941 - Determination of lead, cadmium and mercury in blood for assessment of environmental exposure: a comparison between inductively coupled plasma-mass spectrometry and atomic absorption spectrometry
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Informações sobre o DOI: 10.1080/08839514.2021.2010941 (Fonte: oaDOI API)
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