The landscape of wearable sensors and automated literature analysis with large-language models (2025)
- Authors:
- USP affiliated authors: OLIVEIRA, MARIA CRISTINA FERREIRA DE - ICMC ; OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC ; SANTI, VÍTOR HUGO BRIDI DEI - IFSC
- Unidades: ICMC; IFSC
- DOI: 10.1021/acsomega.5c04542
- Subjects: REDES COMPLEXAS; PROCESSAMENTO DE LINGUAGEM NATURAL; REVISÃO SISTEMÁTICA; SENSORES BIOMÉDICOS; TECNOLOGIAS DA SAÚDE
- Keywords: Cluster chemistry; Machine learning; Materials; Sensors; Wearable electronics
- Agências de fomento:
- Language: Inglês
- Sustainable Development Goals (GDS):
03. Good health and well-being
- Imprenta:
- Publisher place: Washington, DC
- Date published: 2025
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
KLARAK, Jaromir et al. The landscape of wearable sensors and automated literature analysis with large-language models. ACS Omega, v. 10, n. 37, p. 42127-42134, 2025Tradução . . Disponível em: https://doi.org/10.1021/acsomega.5c04542. Acesso em: 02 jan. 2026. -
APA
Klarak, J., Santi, V. H. B. D., Moreira, L. F., Andok, R., Bardosova, M., Oliveira, M. C. F. de, & Oliveira Junior, O. N. de. (2025). The landscape of wearable sensors and automated literature analysis with large-language models. ACS Omega, 10( 37), 42127-42134. doi:10.1021/acsomega.5c04542 -
NLM
Klarak J, Santi VHBD, Moreira LF, Andok R, Bardosova M, Oliveira MCF de, Oliveira Junior ON de. The landscape of wearable sensors and automated literature analysis with large-language models [Internet]. ACS Omega. 2025 ; 10( 37): 42127-42134.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1021/acsomega.5c04542 -
Vancouver
Klarak J, Santi VHBD, Moreira LF, Andok R, Bardosova M, Oliveira MCF de, Oliveira Junior ON de. The landscape of wearable sensors and automated literature analysis with large-language models [Internet]. ACS Omega. 2025 ; 10( 37): 42127-42134.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1021/acsomega.5c04542 - Knowledge discovery in materials sciences
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Informações sobre o DOI: 10.1021/acsomega.5c04542 (Fonte: oaDOI API)
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