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Forecasting insect abundance using time series embedding and environmental covariates (2023)
Palma, Gabriel R; Mello, Rodrigo F; Godoy, Wesley Augusto Conde ; Engel, Eduardo ; Lau, Douglas; Markham, Charles; Moral, Rafael de Andrade
Source: Proceedings book .... Conference titles: International Workshop on Statistical Modelling - IWSM. Unidade: ESALQ
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, CAUSALIDADE, CONTROLE INTEGRADO, DENSIDADE POPULACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), PULGÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PALMA, Gabriel R et al. Forecasting insect abundance using time series embedding and environmental covariates. 2023, Anais.. Dortmund, TU: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, 2023. p. 693 : il. Disponível em: https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf. Acesso em: 05 ago. 2024.
APA
Palma, G. R., Mello, R. F., Godoy, W. A. C., Engel, E., Lau, D., Markham, C., & Moral, R. de A. (2023). Forecasting insect abundance using time series embedding and environmental covariates. In Proceedings book .. (p. 693 : il). Dortmund, TU: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo. Recuperado de https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf
NLM
Palma GR, Mello RF, Godoy WAC, Engel E, Lau D, Markham C, Moral R de A. Forecasting insect abundance using time series embedding and environmental covariates [Internet]. Proceedings book .. 2023 ;693 : il.[citado 2024 ago. 05 ] Available from: https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf
Vancouver
Palma GR, Mello RF, Godoy WAC, Engel E, Lau D, Markham C, Moral R de A. Forecasting insect abundance using time series embedding and environmental covariates [Internet]. Proceedings book .. 2023 ;693 : il.[citado 2024 ago. 05 ] Available from: https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf
Artigo de periodico
An adaptive boundary algorithm for the reconstruction of boundary and initial data using the method of fundamental solutions for the inverse Cauchy-Stefan problem (2021)
Reddy, Gujji Murali Mohan ; Nanda, P; Vynnycky, Michael ; Cuminato, José Alberto
Source: Computational and Applied Mathematics. Unidade: ICMC
Subjects: PROBLEMAS INVERSOS, MÉTODOS NUMÉRICOS, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REDDY, Gujji Murali Mohan et al. An adaptive boundary algorithm for the reconstruction of boundary and initial data using the method of fundamental solutions for the inverse Cauchy-Stefan problem. Computational and Applied Mathematics, v. 40, p. 1-26, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40314-021-01454-1. Acesso em: 05 ago. 2024.
APA
Reddy, G. M. M., Nanda, P., Vynnycky, M., & Cuminato, J. A. (2021). An adaptive boundary algorithm for the reconstruction of boundary and initial data using the method of fundamental solutions for the inverse Cauchy-Stefan problem. Computational and Applied Mathematics, 40, 1-26. doi:10.1007/s40314-021-01454-1
NLM
Reddy GMM, Nanda P, Vynnycky M, Cuminato JA. An adaptive boundary algorithm for the reconstruction of boundary and initial data using the method of fundamental solutions for the inverse Cauchy-Stefan problem [Internet]. Computational and Applied Mathematics. 2021 ; 40 1-26.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s40314-021-01454-1
Vancouver
Reddy GMM, Nanda P, Vynnycky M, Cuminato JA. An adaptive boundary algorithm for the reconstruction of boundary and initial data using the method of fundamental solutions for the inverse Cauchy-Stefan problem [Internet]. Computational and Applied Mathematics. 2021 ; 40 1-26.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s40314-021-01454-1
Artigo de periodico
K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue (2018)
Lima, Cassio; Corrêa, Luciana; Byrne, Hugh; Zezzel, Denise
Source: IEEE Proceedings. Unidade: FO
Subjects: ESPECTROSCOPIA, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Cassio et al. K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue. IEEE Proceedings, 2018Tradução . . Disponível em: https://doi.org/10.1109/SBFoton-IOPC.2018.8610920. Acesso em: 05 ago. 2024.
APA
Lima, C., Corrêa, L., Byrne, H., & Zezzel, D. (2018). K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue. IEEE Proceedings. doi:10.1109/SBFoton-IOPC.2018.8610920
NLM
Lima C, Corrêa L, Byrne H, Zezzel D. K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue [Internet]. IEEE Proceedings. 2018 ;[citado 2024 ago. 05 ] Available from: https://doi.org/10.1109/SBFoton-IOPC.2018.8610920
Vancouver
Lima C, Corrêa L, Byrne H, Zezzel D. K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue [Internet]. IEEE Proceedings. 2018 ;[citado 2024 ago. 05 ] Available from: https://doi.org/10.1109/SBFoton-IOPC.2018.8610920

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