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Artigo de periodico
Soundscape characterization using autoencoders and unsupervised learning (2024)
Nieto-Mora, Daniel Alexis ; Oliveira, Maria Cristina Ferreira de ; Sanchez-Giraldo, Camilo ; Duque-Muñoz, Leonardo ; Isaza-Narváez, Claudia ; Martínez-Vargas, Juan David
Source: Sensors. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE PADRÕES, ACÚSTICA, MONITORAMENTO AMBIENTAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NIETO-MORA, Daniel Alexis et al. Soundscape characterization using autoencoders and unsupervised learning. Sensors, v. 24, n. 8, p. 1-21, 2024Tradução . . Disponível em: https://doi.org/10.3390/s24082597. Acesso em: 18 set. 2024.
APA
Nieto-Mora, D. A., Oliveira, M. C. F. de, Sanchez-Giraldo, C., Duque-Muñoz, L., Isaza-Narváez, C., & Martínez-Vargas, J. D. (2024). Soundscape characterization using autoencoders and unsupervised learning. Sensors, 24( 8), 1-21. doi:10.3390/s24082597
NLM
Nieto-Mora DA, Oliveira MCF de, Sanchez-Giraldo C, Duque-Muñoz L, Isaza-Narváez C, Martínez-Vargas JD. Soundscape characterization using autoencoders and unsupervised learning [Internet]. Sensors. 2024 ; 24( 8): 1-21.[citado 2024 set. 18 ] Available from: https://doi.org/10.3390/s24082597
Vancouver
Nieto-Mora DA, Oliveira MCF de, Sanchez-Giraldo C, Duque-Muñoz L, Isaza-Narváez C, Martínez-Vargas JD. Soundscape characterization using autoencoders and unsupervised learning [Internet]. Sensors. 2024 ; 24( 8): 1-21.[citado 2024 set. 18 ] Available from: https://doi.org/10.3390/s24082597
Artigo de periodico
Spectral density-based clustering algorithms for complex networks (2023)
Ramos, Taiane Coelho ; Mourão-Miranda, Janaina ; Fujita, André
Source: Frontiers in Neuroscience. Unidades: IME, ICMC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, TEORIA ESPECTRAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Taiane Coelho e MOURÃO-MIRANDA, Janaina e FUJITA, André. Spectral density-based clustering algorithms for complex networks. Frontiers in Neuroscience, v. 17, p. 1-14, 2023Tradução . . Disponível em: https://doi.org/10.3389/fnins.2023.926321. Acesso em: 18 set. 2024.
APA
Ramos, T. C., Mourão-Miranda, J., & Fujita, A. (2023). Spectral density-based clustering algorithms for complex networks. Frontiers in Neuroscience, 17, 1-14. doi:10.3389/fnins.2023.926321
NLM
Ramos TC, Mourão-Miranda J, Fujita A. Spectral density-based clustering algorithms for complex networks [Internet]. Frontiers in Neuroscience. 2023 ; 17 1-14.[citado 2024 set. 18 ] Available from: https://doi.org/10.3389/fnins.2023.926321
Vancouver
Ramos TC, Mourão-Miranda J, Fujita A. Spectral density-based clustering algorithms for complex networks [Internet]. Frontiers in Neuroscience. 2023 ; 17 1-14.[citado 2024 set. 18 ] Available from: https://doi.org/10.3389/fnins.2023.926321
Artigo de periodico
Maximal gap between local and global distinguishability of bipartite quantum states (2022)
Corrêa, Willian Hans Goes ; Lami, Ludovico ; Palazuelos, Carlos
Source: IEEE Transactions on Information Theory. Unidade: ICMC
Subjects: TEORIA DA INFORMAÇÃO, SISTEMA QUÂNTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORRÊA, Willian Hans Goes e LAMI, Ludovico e PALAZUELOS, Carlos. Maximal gap between local and global distinguishability of bipartite quantum states. IEEE Transactions on Information Theory, v. No 2022, n. 11, p. 7306-7314, 2022Tradução . . Disponível em: https://doi.org/10.1109/TIT.2022.3186428. Acesso em: 18 set. 2024.
APA
Corrêa, W. H. G., Lami, L., & Palazuelos, C. (2022). Maximal gap between local and global distinguishability of bipartite quantum states. IEEE Transactions on Information Theory, No 2022( 11), 7306-7314. doi:10.1109/TIT.2022.3186428
NLM
Corrêa WHG, Lami L, Palazuelos C. Maximal gap between local and global distinguishability of bipartite quantum states [Internet]. IEEE Transactions on Information Theory. 2022 ; No 2022( 11): 7306-7314.[citado 2024 set. 18 ] Available from: https://doi.org/10.1109/TIT.2022.3186428
Vancouver
Corrêa WHG, Lami L, Palazuelos C. Maximal gap between local and global distinguishability of bipartite quantum states [Internet]. IEEE Transactions on Information Theory. 2022 ; No 2022( 11): 7306-7314.[citado 2024 set. 18 ] Available from: https://doi.org/10.1109/TIT.2022.3186428
Artigo de periodico
NeoBat interactions: a data set of bat-plant interactions in the neotropics (2022)
Florez-Montero, Guilhermo ; Muylaert, Renata de Lara ; Nogueira, Marcelo Rodrigues ; Geiselman, Cullen ; Santana, Sharlene E ; Stevens, Richard D ; Tschapka, Marco ; Rodrigues, Francisco Aparecido ; Mello, Marco A. R
Source: Ecology. Unidades: ICMC, IB
Subjects: ECOLOGIA, MORCEGOS, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLOREZ-MONTERO, Guilhermo et al. NeoBat interactions: a data set of bat-plant interactions in the neotropics. Ecology, v. 103, n. 4, p. 1-2, 2022Tradução . . Disponível em: https://doi.org/10.1002/ecy.3640. Acesso em: 18 set. 2024.
APA
Florez-Montero, G., Muylaert, R. de L., Nogueira, M. R., Geiselman, C., Santana, S. E., Stevens, R. D., et al. (2022). NeoBat interactions: a data set of bat-plant interactions in the neotropics. Ecology, 103( 4), 1-2. doi:10.1002/ecy.3640
NLM
Florez-Montero G, Muylaert R de L, Nogueira MR, Geiselman C, Santana SE, Stevens RD, Tschapka M, Rodrigues FA, Mello MAR. NeoBat interactions: a data set of bat-plant interactions in the neotropics [Internet]. Ecology. 2022 ; 103( 4): 1-2.[citado 2024 set. 18 ] Available from: https://doi.org/10.1002/ecy.3640
Vancouver
Florez-Montero G, Muylaert R de L, Nogueira MR, Geiselman C, Santana SE, Stevens RD, Tschapka M, Rodrigues FA, Mello MAR. NeoBat interactions: a data set of bat-plant interactions in the neotropics [Internet]. Ecology. 2022 ; 103( 4): 1-2.[citado 2024 set. 18 ] Available from: https://doi.org/10.1002/ecy.3640
Artigo de periodico
Vapor pressure deficit helps explain biogenic volatile organic compound fluxes from the forest floor and canopy of a temperate deciduous forest (2021)
Stoy, Paul C ; Trowbridge, Amy M ; Siqueira, Mario B; Freire, Lívia Souza ; Phillips, Richard P ; Jacobs, Luke; Wiesner, Susanne ; Monson, Russell K; Novick, Kimberly A
Source: Oecologia. Unidade: ICMC
Subjects: ECOLOGIA MATEMÁTICA, MODELOS MATEMÁTICOS, COMPOSTOS VOLÁTEIS, METANOL, FLORESTAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
STOY, Paul C et al. Vapor pressure deficit helps explain biogenic volatile organic compound fluxes from the forest floor and canopy of a temperate deciduous forest. Oecologia, v. 197, n. 4, p. 971-988, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00442-021-04891-1. Acesso em: 18 set. 2024.
APA
Stoy, P. C., Trowbridge, A. M., Siqueira, M. B., Freire, L. S., Phillips, R. P., Jacobs, L., et al. (2021). Vapor pressure deficit helps explain biogenic volatile organic compound fluxes from the forest floor and canopy of a temperate deciduous forest. Oecologia, 197( 4), 971-988. doi:10.1007/s00442-021-04891-1
NLM
Stoy PC, Trowbridge AM, Siqueira MB, Freire LS, Phillips RP, Jacobs L, Wiesner S, Monson RK, Novick KA. Vapor pressure deficit helps explain biogenic volatile organic compound fluxes from the forest floor and canopy of a temperate deciduous forest [Internet]. Oecologia. 2021 ; 197( 4): 971-988.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s00442-021-04891-1
Vancouver
Stoy PC, Trowbridge AM, Siqueira MB, Freire LS, Phillips RP, Jacobs L, Wiesner S, Monson RK, Novick KA. Vapor pressure deficit helps explain biogenic volatile organic compound fluxes from the forest floor and canopy of a temperate deciduous forest [Internet]. Oecologia. 2021 ; 197( 4): 971-988.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s00442-021-04891-1

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