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Artigo de periodico
A generalized combinatorial marching hypercube algorithm (2024)
Castelo, Antonio ; Nakassima, Guilherme Kenji ; Bueno, Lucas Moutinho; Gameiro, Márcio Fuzeto
Source: Computational and Applied Mathematics. Unidade: ICMC
Subjects: ALGORITMOS, TOPOLOGIA COMBINATÓRIA, ANÁLISE DE DESEMPENHO
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ABNT
CASTELO, Antonio et al. A generalized combinatorial marching hypercube algorithm. Computational and Applied Mathematics, v. 43, p. 1-23, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40314-024-02627-4. Acesso em: 30 ago. 2024.
APA
Castelo, A., Nakassima, G. K., Bueno, L. M., & Gameiro, M. F. (2024). A generalized combinatorial marching hypercube algorithm. Computational and Applied Mathematics, 43, 1-23. doi:10.1007/s40314-024-02627-4
NLM
Castelo A, Nakassima GK, Bueno LM, Gameiro MF. A generalized combinatorial marching hypercube algorithm [Internet]. Computational and Applied Mathematics. 2024 ; 43 1-23.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/s40314-024-02627-4
Vancouver
Castelo A, Nakassima GK, Bueno LM, Gameiro MF. A generalized combinatorial marching hypercube algorithm [Internet]. Computational and Applied Mathematics. 2024 ; 43 1-23.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/s40314-024-02627-4
Artigo de periodico
Calibrate: interactive analysis of probabilistic model output (2023)
Xenopoulos, Peter ; Rulff, João; Nonato, Luis Gustavo ; Barr, Brian; Silva, Claudio
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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XENOPOULOS, Peter et al. Calibrate: interactive analysis of probabilistic model output. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. Ja 2023, p. 853-863, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3209489. Acesso em: 30 ago. 2024.
APA
Xenopoulos, P., Rulff, J., Nonato, L. G., Barr, B., & Silva, C. (2023). Calibrate: interactive analysis of probabilistic model output. IEEE Transactions on Visualization and Computer Graphics, 29( Ja 2023), 853-863. doi:10.1109/TVCG.2022.3209489
NLM
Xenopoulos P, Rulff J, Nonato LG, Barr B, Silva C. Calibrate: interactive analysis of probabilistic model output [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 853-863.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
Vancouver
Xenopoulos P, Rulff J, Nonato LG, Barr B, Silva C. Calibrate: interactive analysis of probabilistic model output [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 853-863.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
Artigo de periodico
Atmospheric small-scale turbulence from three-dimensional hot-film data (2023)
Freire, Lívia Souza ; Chamecki, Marcelo ; Patton, Edward Garrett
Source: Boundary-Layer Meteorology. Unidade: ICMC
Subjects: TURBULÊNCIA ATMOSFÉRICA, ESPECTROS, TÚNEIS DE VENTO
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ABNT
FREIRE, Lívia Souza e CHAMECKI, Marcelo e PATTON, Edward Garrett. Atmospheric small-scale turbulence from three-dimensional hot-film data. Boundary-Layer Meteorology, v. 189, p. 77-101, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10546-023-00826-w. Acesso em: 30 ago. 2024.
APA
Freire, L. S., Chamecki, M., & Patton, E. G. (2023). Atmospheric small-scale turbulence from three-dimensional hot-film data. Boundary-Layer Meteorology, 189, 77-101. doi:10.1007/s10546-023-00826-w
NLM
Freire LS, Chamecki M, Patton EG. Atmospheric small-scale turbulence from three-dimensional hot-film data [Internet]. Boundary-Layer Meteorology. 2023 ; 189 77-101.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/s10546-023-00826-w
Vancouver
Freire LS, Chamecki M, Patton EG. Atmospheric small-scale turbulence from three-dimensional hot-film data [Internet]. Boundary-Layer Meteorology. 2023 ; 189 77-101.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/s10546-023-00826-w
Artigo de periodico
A classification model for continuous responses: identifying risk perception groups on health-related activities (2023)
Oliveira, Eduardo Schneider Bueno de ; Wang, Xiaojing; Bazán Guzmán, Jorge Luis
Source: Biometrical Journal. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: FRAMEWORKS, INFERÊNCIA BAYESIANA, RESPOSTAS
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ABNT
OLIVEIRA, Eduardo Schneider Bueno de e WANG, Xiaojing e BAZÁN GUZMÁN, Jorge Luis. A classification model for continuous responses: identifying risk perception groups on health-related activities. Biometrical Journal, v. 65, n. 4, p. 1-22, 2023Tradução . . Disponível em: https://doi.org/10.1002/bimj.202100222. Acesso em: 30 ago. 2024.
APA
Oliveira, E. S. B. de, Wang, X., & Bazán Guzmán, J. L. (2023). A classification model for continuous responses: identifying risk perception groups on health-related activities. Biometrical Journal, 65( 4), 1-22. doi:10.1002/bimj.202100222
NLM
Oliveira ESB de, Wang X, Bazán Guzmán JL. A classification model for continuous responses: identifying risk perception groups on health-related activities [Internet]. Biometrical Journal. 2023 ; 65( 4): 1-22.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1002/bimj.202100222
Vancouver
Oliveira ESB de, Wang X, Bazán Guzmán JL. A classification model for continuous responses: identifying risk perception groups on health-related activities [Internet]. Biometrical Journal. 2023 ; 65( 4): 1-22.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1002/bimj.202100222
Artigo de periodico
Rigorous enclosures of solutions of Neumann boundary value problems (2022)
Ramos, Eduardo ; Nolasco, Victor Hugo ; Gameiro, Márcio Fuzeto
Source: Applied Numerical Mathematics. Unidade: ICMC
Subjects: PROBLEMAS DE CONTORNO, TEOREMAS LIMITES
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ABNT
RAMOS, Eduardo e NOLASCO, Victor Hugo e GAMEIRO, Márcio Fuzeto. Rigorous enclosures of solutions of Neumann boundary value problems. Applied Numerical Mathematics, v. 180, p. 104-119, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.apnum.2022.05.011. Acesso em: 30 ago. 2024.
APA
Ramos, E., Nolasco, V. H., & Gameiro, M. F. (2022). Rigorous enclosures of solutions of Neumann boundary value problems. Applied Numerical Mathematics, 180, 104-119. doi:10.1016/j.apnum.2022.05.011
NLM
Ramos E, Nolasco VH, Gameiro MF. Rigorous enclosures of solutions of Neumann boundary value problems [Internet]. Applied Numerical Mathematics. 2022 ; 180 104-119.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.apnum.2022.05.011
Vancouver
Ramos E, Nolasco VH, Gameiro MF. Rigorous enclosures of solutions of Neumann boundary value problems [Internet]. Applied Numerical Mathematics. 2022 ; 180 104-119.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.apnum.2022.05.011
Artigo de periodico
Pay attention to evolution: time series forecasting with deep graph-evolution learning (2022)
Spadon, Gabriel ; Hong, Shenda ; Machado, Bruno Brandoli ; Matwin, Stan ; Rodrigues Junior, José Fernando ; Sun, Jimeng
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. Unidade: ICMC
Subjects: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TEORIA DOS GRAFOS
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ABNT
SPADON, Gabriel et al. Pay attention to evolution: time series forecasting with deep graph-evolution learning. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM, v. 44, n. 9, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1109/TPAMI.2021.3076155. Acesso em: 30 ago. 2024.
APA
Spadon, G., Hong, S., Machado, B. B., Matwin, S., Rodrigues Junior, J. F., & Sun, J. (2022). Pay attention to evolution: time series forecasting with deep graph-evolution learning. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM, 44( 9), Se 2022. doi:10.1109/TPAMI.2021.3076155
NLM
Spadon G, Hong S, Machado BB, Matwin S, Rodrigues Junior JF, Sun J. Pay attention to evolution: time series forecasting with deep graph-evolution learning [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. 2022 ; 44( 9): Se 2022.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/TPAMI.2021.3076155
Vancouver
Spadon G, Hong S, Machado BB, Matwin S, Rodrigues Junior JF, Sun J. Pay attention to evolution: time series forecasting with deep graph-evolution learning [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. 2022 ; 44( 9): Se 2022.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/TPAMI.2021.3076155
Artigo de periodico
Turbulent transport and reactions of plant-emitted hydrocarbons in an Amazonian rain forest (2022)
Fuentes, Jose D ; Gerken, Tobias ; Chamecki, Marcelo ; Stoy, Paul C ; Freire, Lívia Souza ; Ruiz-Plancarte, Jesus
Source: Atmospheric Environment. Unidade: ICMC
Subjects: TURBULÊNCIA ATMOSFÉRICA, DINÂMICA DOS FLUÍDOS COMPUTACIONAL, HIDROCARBONETOS, FLORESTAS TROPICAIS, AMAZÔNIA
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ABNT
FUENTES, Jose D et al. Turbulent transport and reactions of plant-emitted hydrocarbons in an Amazonian rain forest. Atmospheric Environment, v. 279, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.atmosenv.2022.119094. Acesso em: 30 ago. 2024.
APA
Fuentes, J. D., Gerken, T., Chamecki, M., Stoy, P. C., Freire, L. S., & Ruiz-Plancarte, J. (2022). Turbulent transport and reactions of plant-emitted hydrocarbons in an Amazonian rain forest. Atmospheric Environment, 279, 1-13. doi:10.1016/j.atmosenv.2022.119094
NLM
Fuentes JD, Gerken T, Chamecki M, Stoy PC, Freire LS, Ruiz-Plancarte J. Turbulent transport and reactions of plant-emitted hydrocarbons in an Amazonian rain forest [Internet]. Atmospheric Environment. 2022 ; 279 1-13.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.atmosenv.2022.119094
Vancouver
Fuentes JD, Gerken T, Chamecki M, Stoy PC, Freire LS, Ruiz-Plancarte J. Turbulent transport and reactions of plant-emitted hydrocarbons in an Amazonian rain forest [Internet]. Atmospheric Environment. 2022 ; 279 1-13.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.atmosenv.2022.119094
Artigo de periodico
Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy (2022)
Liu, Xu ; Nardari, Guilherme Vicentim ; Ojeda, Fernando Cladera; Tao, Yuezhan ; Zhou, Alex; Donnelly, Thomas; Qu, Chao; Chen, Steven W ; Romero, Roseli Aparecida Francelin ; Taylor, Camillo J; Kumar, Vijay
Source: IEEE Robotics and Automation Letters. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, AERONAVES NÃO TRIPULADAS
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ABNT
LIU, Xu et al. Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy. IEEE Robotics and Automation Letters, v. 7, n. 2, p. 5512-5519, 2022Tradução . . Disponível em: https://doi.org/10.1109/LRA.2022.3154047. Acesso em: 30 ago. 2024.
APA
Liu, X., Nardari, G. V., Ojeda, F. C., Tao, Y., Zhou, A., Donnelly, T., et al. (2022). Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy. IEEE Robotics and Automation Letters, 7( 2), 5512-5519. doi:10.1109/LRA.2022.3154047
NLM
Liu X, Nardari GV, Ojeda FC, Tao Y, Zhou A, Donnelly T, Qu C, Chen SW, Romero RAF, Taylor CJ, Kumar V. Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 2): 5512-5519.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/LRA.2022.3154047
Vancouver
Liu X, Nardari GV, Ojeda FC, Tao Y, Zhou A, Donnelly T, Qu C, Chen SW, Romero RAF, Taylor CJ, Kumar V. Large-scale autonomous flight with real-time semantic SLAM under dense forest canopy [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 2): 5512-5519.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1109/LRA.2022.3154047
Artigo de periodico
A combinatorial marching hypercubes algorithm (2022)
Castelo, Antonio ; Bueno, Lucas Moutinho; Gameiro, Márcio Fuzeto
Source: Computers and Graphics. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
CASTELO, Antonio e BUENO, Lucas Moutinho e GAMEIRO, Márcio Fuzeto. A combinatorial marching hypercubes algorithm. Computers and Graphics, v. 102, p. 67-77, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2021.10.023. Acesso em: 30 ago. 2024.
APA
Castelo, A., Bueno, L. M., & Gameiro, M. F. (2022). A combinatorial marching hypercubes algorithm. Computers and Graphics, 102, 67-77. doi:10.1016/j.cag.2021.10.023
NLM
Castelo A, Bueno LM, Gameiro MF. A combinatorial marching hypercubes algorithm [Internet]. Computers and Graphics. 2022 ; 102 67-77.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.cag.2021.10.023
Vancouver
Castelo A, Bueno LM, Gameiro MF. A combinatorial marching hypercubes algorithm [Internet]. Computers and Graphics. 2022 ; 102 67-77.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.cag.2021.10.023
Artigo de periodico
Experimental guidance for discovering genetic networks through hypothesis reduction on time series (2022)
Cummins, Breschine ; Motta, Francis C ; Moseley, Robert C ; Deckard, Anastasia ; Campione, Sophia ; Gameiro, Márcio Fuzeto ; Gedeon, Tomás ; Mischaikow, Konstantin ; Haase, Steve
Source: PLoS Computational Biology. Unidade: ICMC
Subjects: HIPÓTESE, EXPRESSÃO GÊNICA, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
CUMMINS, Breschine et al. Experimental guidance for discovering genetic networks through hypothesis reduction on time series. PLoS Computational Biology, v. 18, n. 10, p. 1-31, 2022Tradução . . Disponível em: https://doi.org/10.1371/journal.pcbi.1010145. Acesso em: 30 ago. 2024.
APA
Cummins, B., Motta, F. C., Moseley, R. C., Deckard, A., Campione, S., Gameiro, M. F., et al. (2022). Experimental guidance for discovering genetic networks through hypothesis reduction on time series. PLoS Computational Biology, 18( 10), 1-31. doi:10.1371/journal.pcbi.1010145
NLM
Cummins B, Motta FC, Moseley RC, Deckard A, Campione S, Gameiro MF, Gedeon T, Mischaikow K, Haase S. Experimental guidance for discovering genetic networks through hypothesis reduction on time series [Internet]. PLoS Computational Biology. 2022 ; 18( 10): 1-31.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1371/journal.pcbi.1010145
Vancouver
Cummins B, Motta FC, Moseley RC, Deckard A, Campione S, Gameiro MF, Gedeon T, Mischaikow K, Haase S. Experimental guidance for discovering genetic networks through hypothesis reduction on time series [Internet]. PLoS Computational Biology. 2022 ; 18( 10): 1-31.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1371/journal.pcbi.1010145
Artigo de periodico
STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses (2021)
Zhao, Zhenge ; Motta, Danilo Andrade ; Berger, Matthew; Levine, Joshua Aaron ; Kuzucu, Ismail B ; Fleischman, Robert B; Paiva, Afonso ; Scheidegger, Carlos
Source: Information Visualization. Unidade: ICMC
Subjects: SIMULAÇÃO (ESTATÍSTICA), ANÁLISE DE SÉRIES TEMPORAIS, TERREMOTOS
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ABNT
ZHAO, Zhenge et al. STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses. Information Visualization, v. 20, n. 4, p. 263-282, 2021Tradução . . Disponível em: https://doi.org/10.1177/14738716211038618. Acesso em: 30 ago. 2024.
APA
Zhao, Z., Motta, D. A., Berger, M., Levine, J. A., Kuzucu, I. B., Fleischman, R. B., et al. (2021). STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses. Information Visualization, 20( 4), 263-282. doi:10.1177/14738716211038618
NLM
Zhao Z, Motta DA, Berger M, Levine JA, Kuzucu IB, Fleischman RB, Paiva A, Scheidegger C. STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses [Internet]. Information Visualization. 2021 ; 20( 4): 263-282.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1177/14738716211038618
Vancouver
Zhao Z, Motta DA, Berger M, Levine JA, Kuzucu IB, Fleischman RB, Paiva A, Scheidegger C. STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses [Internet]. Information Visualization. 2021 ; 20( 4): 263-282.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1177/14738716211038618
Artigo de periodico
Efficient unsupervised drift detector for fast and high-dimensional data streams (2021)
Souza, Vinícius Mourão Alves de ; Parmezan, Antonio Rafael Sabino ; Chowdhury, Farhan A.; Mueen, Abdullah
Source: Knowledge and Information Systems. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
SOUZA, Vinícius Mourão Alves de et al. Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, v. 63, n. 6, p. 1497-1527, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10115-021-01564-6. Acesso em: 30 ago. 2024.
APA
Souza, V. M. A. de, Parmezan, A. R. S., Chowdhury, F. A., & Mueen, A. (2021). Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, 63( 6), 1497-1527. doi:10.1007/s10115-021-01564-6
NLM
Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
Vancouver
Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
Artigo de periodico
NE-Motion: visual analysis of stroke patients using motion sensor networks (2021)
Contreras, Rodrigo Colnago ; Parnandi, Avinash ; Coelho, Bruno Gomes ; Silva, Claudio ; Schambra, Heidi ; Nonato, Luis Gustavo
Source: Sensors. Unidade: ICMC
Subjects: TEORIA DOS CONJUNTOS, VISUALIZAÇÃO, ACIDENTE VASCULAR CEREBRAL
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ABNT
CONTRERAS, Rodrigo Colnago et al. NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, v. 21, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21134482. Acesso em: 30 ago. 2024.
APA
Contreras, R. C., Parnandi, A., Coelho, B. G., Silva, C., Schambra, H., & Nonato, L. G. (2021). NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, 21, 1-22. doi:10.3390/s21134482
NLM
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 ago. 30 ] Available from: https://doi.org/10.3390/s21134482
Vancouver
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 ago. 30 ] Available from: https://doi.org/10.3390/s21134482
Artigo de periodico
Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model (2021)
Freire, Lívia Souza ; Chamecki, Marcelo
Source: Computers and Fluids. Unidade: ICMC
Subjects: TURBULÊNCIA ATMOSFÉRICA, SISTEMAS DINÂMICOS, MODELOS PARA PROCESSOS ESTOCÁSTICOS, DINÂMICA DOS FLUÍDOS
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ABNT
FREIRE, Lívia Souza e CHAMECKI, Marcelo. Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model. Computers and Fluids, v. No 2021, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compfluid.2021.105135. Acesso em: 30 ago. 2024.
APA
Freire, L. S., & Chamecki, M. (2021). Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model. Computers and Fluids, No 2021, 1-17. doi:10.1016/j.compfluid.2021.105135
NLM
Freire LS, Chamecki M. Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model [Internet]. Computers and Fluids. 2021 ; No 2021 1-17.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.compfluid.2021.105135
Vancouver
Freire LS, Chamecki M. Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model [Internet]. Computers and Fluids. 2021 ; No 2021 1-17.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.compfluid.2021.105135
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
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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: 30 ago. 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 ago. 30 ] 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 ago. 30 ] Available from: https://doi.org/10.1007/s00442-021-04891-1
Artigo de periodico
Further contributions to smart grids cyber-physical security as a malicious data attack: proof and properties of the parameter error spreading out to the measurements and a relaxed correction model (2019)
Bretas, Arturo Suman; Bretas, Newton Geraldo ; Carvalho, Breno Elias Bretas de
Source: International Journal of Electrical Power & Energy Systems. Unidade: EESC
Subjects: CIBERNÉTICA, REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ENGENHARIA ELÉTRICA
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ABNT
BRETAS, Arturo Suman e BRETAS, Newton Geraldo e CARVALHO, Breno Elias Bretas de. Further contributions to smart grids cyber-physical security as a malicious data attack: proof and properties of the parameter error spreading out to the measurements and a relaxed correction model. International Journal of Electrical Power & Energy Systems, v. 104, p. 43-51, 2019Tradução . . Disponível em: http://dx.doi.org/10.1016/j.ijepes.2018.06.039. Acesso em: 30 ago. 2024.
APA
Bretas, A. S., Bretas, N. G., & Carvalho, B. E. B. de. (2019). Further contributions to smart grids cyber-physical security as a malicious data attack: proof and properties of the parameter error spreading out to the measurements and a relaxed correction model. International Journal of Electrical Power & Energy Systems, 104, 43-51. doi:10.1016/j.ijepes.2018.06.039
NLM
Bretas AS, Bretas NG, Carvalho BEB de. Further contributions to smart grids cyber-physical security as a malicious data attack: proof and properties of the parameter error spreading out to the measurements and a relaxed correction model [Internet]. International Journal of Electrical Power & Energy Systems. 2019 ; 104 43-51.[citado 2024 ago. 30 ] Available from: http://dx.doi.org/10.1016/j.ijepes.2018.06.039
Vancouver
Bretas AS, Bretas NG, Carvalho BEB de. Further contributions to smart grids cyber-physical security as a malicious data attack: proof and properties of the parameter error spreading out to the measurements and a relaxed correction model [Internet]. International Journal of Electrical Power & Energy Systems. 2019 ; 104 43-51.[citado 2024 ago. 30 ] Available from: http://dx.doi.org/10.1016/j.ijepes.2018.06.039

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