Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors (2021)
- Authors:
- Autor USP: PARMEZAN, ANTONIO RAFAEL SABINO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s13592-021-00860-y
- Subjects: RECONHECIMENTO DE IMAGEM; SENSORES ÓPTICOS; HYMENOPTERA; ABELHAS; VESPAS
- Keywords: Hymenoptera; eusocial insects; insect flight; optical recognition; flight activity
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Apidologie
- ISSN: 0044-8435
- Volume/Número/Paginação/Ano: v. 52, n. 4, p. 731-748, Aug. 2021
- Status:
- Artigo possui acesso gratuito no site do editor (Bronze Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
PARMEZAN, Antonio Rafael Sabino et al. Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors. Apidologie, v. 52, n. 4, p. 731-748, 2021Tradução . . Disponível em: https://doi.org/10.1007/s13592-021-00860-y. Acesso em: 02 abr. 2026. -
APA
Parmezan, A. R. S., Souza, V. M. A. de, Zliobaite, I., & Batista, G. E. de A. P. A. (2021). Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors. Apidologie, 52( 4), 731-748. doi:10.1007/s13592-021-00860-y -
NLM
Parmezan ARS, Souza VMA de, Zliobaite I, Batista GE de APA. Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors [Internet]. Apidologie. 2021 ; 52( 4): 731-748.[citado 2026 abr. 02 ] Available from: https://doi.org/10.1007/s13592-021-00860-y -
Vancouver
Parmezan ARS, Souza VMA de, Zliobaite I, Batista GE de APA. Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors [Internet]. Apidologie. 2021 ; 52( 4): 731-748.[citado 2026 abr. 02 ] Available from: https://doi.org/10.1007/s13592-021-00860-y - Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets
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