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Artigo de periodico
When climate variables improve the dengue forecasting: a machine learning approach (2024)
Silva, Sidney T da; Gabrick, Enrique Chipicoski ; Protachevicz, Paulo Ricardo ; Iarosz, Kelly Cristiane ; Caldas, Iberê Luiz ; Batista, Antonio Marcos ; Kurths, Jürgen
Source: European Physical Journal Special Topics A. Unidade: IF
Assunto: DENGUE
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SILVA, Sidney T da et al. When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A, 2024Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-024-01201-7. Acesso em: 13 nov. 2024.
APA
Silva, S. T. da, Gabrick, E. C., Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., Batista, A. M., & Kurths, J. (2024). When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A. doi:10.1140/epjs/s11734-024-01201-7
NLM
Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7
Vancouver
Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7
Artigo de periodico
Impact of periodic vaccination in SEIRS seasonal model (2024)
Gabrick, Enrique Chipicoski ; Brugnago, Eduardo Luís ; Souza, Silvio Luiz Thomaz de ; Viana, Ricardo Luiz ; Caldas, Iberê Luiz ; Batista, Antonio Marcos ; Kurths, Jürgen ; Szezech Jr., José Danilo ; Iarosz, Kelly Cristiane
Source: Chaos. Unidade: IF
Assunto: VACINAÇÃO
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GABRICK, Enrique Chipicoski et al. Impact of periodic vaccination in SEIRS seasonal model. Chaos, v. 34, n. 1, 2024Tradução . . Disponível em: https://doi.org/10.1063/5.0169834. Acesso em: 13 nov. 2024.
APA
Gabrick, E. C., Brugnago, E. L., Souza, S. L. T. de, Viana, R. L., Caldas, I. L., Batista, A. M., et al. (2024). Impact of periodic vaccination in SEIRS seasonal model. Chaos, 34( 1). doi:10.1063/5.0169834
NLM
Gabrick EC, Brugnago EL, Souza SLT de, Viana RL, Caldas IL, Batista AM, Kurths J, Szezech Jr. JD, Iarosz KC. Impact of periodic vaccination in SEIRS seasonal model [Internet]. Chaos. 2024 ; 34( 1):[citado 2024 nov. 13 ] Available from: https://doi.org/10.1063/5.0169834
Vancouver
Gabrick EC, Brugnago EL, Souza SLT de, Viana RL, Caldas IL, Batista AM, Kurths J, Szezech Jr. JD, Iarosz KC. Impact of periodic vaccination in SEIRS seasonal model [Internet]. Chaos. 2024 ; 34( 1):[citado 2024 nov. 13 ] Available from: https://doi.org/10.1063/5.0169834
Artigo de periodico-carta/editorial
Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial] (2023)
Bianconi, Ginestra ; Arenas, Alex ; Biamonte, Jacob ; Carr, Lincoln D ; Kahng, Byungnam ; Kertesz, Janos ; Kurths, Jürgen ; Lü, Linyuan ; Masoller, Cristina ; Motter, Adilson E ; Perc, Matjaz ; Radicchi, Filippo ; Ramaswamy, Ramakrishna ; Rodrigues, Francisco Aparecido ; Sales-Pardo, Marta ; Miguel, Maxi San ; Thurner, Stefan ; Yasseri, Taha
Source: Journal of Physics : Complexity. Unidade: ICMC
Subjects: FUTURO, COMPLEXIDADE, CIÊNCIAS EXATAS
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BIANCONI, Ginestra et al. Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial]. Journal of Physics : Complexity. Bristol: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1088/2632-072X/ac7f75. Acesso em: 13 nov. 2024. , 2023
APA
Bianconi, G., Arenas, A., Biamonte, J., Carr, L. D., Kahng, B., Kertesz, J., et al. (2023). Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial]. Journal of Physics : Complexity. Bristol: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1088/2632-072X/ac7f75
NLM
Bianconi G, Arenas A, Biamonte J, Carr LD, Kahng B, Kertesz J, Kurths J, Lü L, Masoller C, Motter AE, Perc M, Radicchi F, Ramaswamy R, Rodrigues FA, Sales-Pardo M, Miguel MS, Thurner S, Yasseri T. Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial] [Internet]. Journal of Physics : Complexity. 2023 ; 4 1-28.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1088/2632-072X/ac7f75
Vancouver
Bianconi G, Arenas A, Biamonte J, Carr LD, Kahng B, Kertesz J, Kurths J, Lü L, Masoller C, Motter AE, Perc M, Radicchi F, Ramaswamy R, Rodrigues FA, Sales-Pardo M, Miguel MS, Thurner S, Yasseri T. Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial] [Internet]. Journal of Physics : Complexity. 2023 ; 4 1-28.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1088/2632-072X/ac7f75
Artigo de periodico
Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions (2022)
Kittel, Tim; Ciemer, Catrin ; Lotfi, Nastaran ; Peron, Thomas ; Rodrigues, Francisco Aparecido ; Kurths, Jürgen; Donner, Reik
Source: The European Physical Journal Special Topics. Unidade: ICMC
Subjects: CLIMA, VULCANISMO, TEMPERATURA ATMOSFÉRICA, ANÁLISE FUNCIONAL
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KITTEL, Tim et al. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions. The European Physical Journal Special Topics, v. 230, p. 3075-3100, 2022Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00269-9. Acesso em: 13 nov. 2024.
APA
Kittel, T., Ciemer, C., Lotfi, N., Peron, T., Rodrigues, F. A., Kurths, J., & Donner, R. (2022). Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions. The European Physical Journal Special Topics, 230, 3075-3100. doi:10.1140/epjs/s11734-021-00269-9
NLM
Kittel T, Ciemer C, Lotfi N, Peron T, Rodrigues FA, Kurths J, Donner R. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions [Internet]. The European Physical Journal Special Topics. 2022 ; 230 3075-3100.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00269-9
Vancouver
Kittel T, Ciemer C, Lotfi N, Peron T, Rodrigues FA, Kurths J, Donner R. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions [Internet]. The European Physical Journal Special Topics. 2022 ; 230 3075-3100.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00269-9
Artigo de periodico
Emergence of Neuronal Synchronisation in Coupled Areas (2021)
Protachevicz, R. P. ; Hansen, Matheus; Iarosz, Kelly ; Caldas, Iberê Luiz ; Batista, Antonio ; Kurths, Jürgen
Source: Frontiers in Computational Neuroscience. Unidade: IF
Subjects: NEUROCIÊNCIAS, REDES NEURAIS, SISTEMAS NÃO LINEARES, MEMÓRIA, CÓRTEX CEREBRAL, SINAPSE, NEURÔNIOS
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PROTACHEVICZ, R. P. et al. Emergence of Neuronal Synchronisation in Coupled Areas. Frontiers in Computational Neuroscience, v. 15, 2021Tradução . . Disponível em: https://doi.org/10.3389/fncom.2021.663408. Acesso em: 13 nov. 2024.
APA
Protachevicz, R. P., Hansen, M., Iarosz, K., Caldas, I. L., Batista, A., & Kurths, J. (2021). Emergence of Neuronal Synchronisation in Coupled Areas. Frontiers in Computational Neuroscience, 15. doi:10.3389/fncom.2021.663408
NLM
Protachevicz RP, Hansen M, Iarosz K, Caldas IL, Batista A, Kurths J. Emergence of Neuronal Synchronisation in Coupled Areas [Internet]. Frontiers in Computational Neuroscience. 2021 ; 15[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fncom.2021.663408
Vancouver
Protachevicz RP, Hansen M, Iarosz K, Caldas IL, Batista A, Kurths J. Emergence of Neuronal Synchronisation in Coupled Areas [Internet]. Frontiers in Computational Neuroscience. 2021 ; 15[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fncom.2021.663408
Artigo de periodico
Performance measures after perturbations in the presence of inertia (2021)
Ye, Jiachen; Peron, Thomas ; Lin, Wei; Kurths, Jürgen; Ji, Peng
Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: ICMC
Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS
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YE, Jiachen et al. Performance measures after perturbations in the presence of inertia. Communications in Nonlinear Science and Numerical Simulation, v. 97, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2021.105727. Acesso em: 13 nov. 2024.
APA
Ye, J., Peron, T., Lin, W., Kurths, J., & Ji, P. (2021). Performance measures after perturbations in the presence of inertia. Communications in Nonlinear Science and Numerical Simulation, 97, 1-10. doi:10.1016/j.cnsns.2021.105727
NLM
Ye J, Peron T, Lin W, Kurths J, Ji P. Performance measures after perturbations in the presence of inertia [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 97 1-10.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.cnsns.2021.105727
Vancouver
Ye J, Peron T, Lin W, Kurths J, Ji P. Performance measures after perturbations in the presence of inertia [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 97 1-10.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.cnsns.2021.105727
Artigo de periodico
Dynamical phenomena in complex networks: fundamentals and applications (2021)
Yanchuk, Serhiy; Roque, Antônio Carlos ; Macau, Elbert E. N.; Kurths, Jürgen
Source: The European Physical Journal Special Topics. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, NEUROCIÊNCIAS, PROCESSOS ESTOCÁSTICOS
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YANCHUK, Serhiy et al. Dynamical phenomena in complex networks: fundamentals and applications. The European Physical Journal Special Topics, v. 230, p. 2711-2716, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00282-y. Acesso em: 13 nov. 2024.
APA
Yanchuk, S., Roque, A. C., Macau, E. E. N., & Kurths, J. (2021). Dynamical phenomena in complex networks: fundamentals and applications. The European Physical Journal Special Topics, 230, 2711-2716. doi:10.1140/epjs/s11734-021-00282-y
NLM
Yanchuk S, Roque AC, Macau EEN, Kurths J. Dynamical phenomena in complex networks: fundamentals and applications [Internet]. The European Physical Journal Special Topics. 2021 ; 230 2711-2716.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00282-y
Vancouver
Yanchuk S, Roque AC, Macau EEN, Kurths J. Dynamical phenomena in complex networks: fundamentals and applications [Internet]. The European Physical Journal Special Topics. 2021 ; 230 2711-2716.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00282-y
Artigo de periodico
Influence of Delayed Conductance on Neuronal Synchronization (2020)
Protachevicz, Paulo R; Borges, Fernando S; Iarosz, Kelly Cristiane ; Baptista, Murilo S; Lameu, Ewandson L; Hansen, Matheus ; Caldas, Iberê Luiz ; Szezech Jr, José D; Batista, Antonio M. ; Kurths, Jürgen
Source: Frontiers Physiology. Unidade: IF
Assunto: SINCRONIZAÇÃO
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PROTACHEVICZ, Paulo R et al. Influence of Delayed Conductance on Neuronal Synchronization. Frontiers Physiology, v. 11, 2020Tradução . . Disponível em: https://doi.org/10.3389/fphys.2020.01053. Acesso em: 13 nov. 2024.
APA
Protachevicz, P. R., Borges, F. S., Iarosz, K. C., Baptista, M. S., Lameu, E. L., Hansen, M., et al. (2020). Influence of Delayed Conductance on Neuronal Synchronization. Frontiers Physiology, 11. doi:10.3389/fphys.2020.01053
NLM
Protachevicz PR, Borges FS, Iarosz KC, Baptista MS, Lameu EL, Hansen M, Caldas IL, Szezech Jr JD, Batista AM, Kurths J. Influence of Delayed Conductance on Neuronal Synchronization [Internet]. Frontiers Physiology. 2020 ; 11[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fphys.2020.01053
Vancouver
Protachevicz PR, Borges FS, Iarosz KC, Baptista MS, Lameu EL, Hansen M, Caldas IL, Szezech Jr JD, Batista AM, Kurths J. Influence of Delayed Conductance on Neuronal Synchronization [Internet]. Frontiers Physiology. 2020 ; 11[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fphys.2020.01053
Artigo de periodico
Bistable Firing Pattern in a Neural Network Model (2019)
Protachevicz, Paulo Ricardo; Borges, Fernando Silva ; Lameu, Ewandson Luiz ; Peng Ji; Iarosz, Kelly Cristiane ; Kihara, Alexandre Hiroaki ; Caldas, Iberê Luiz ; Szezech Jr., Jose D.; Murilo S. Baptista; Macau, Elbert E. N. ; Antonopoulos, Chris G.; Antonio M. Batista; Kurths, Jürgen
Source: Frontiers in Computational Neuroscience. Unidade: IF
Subjects: FÍSICA DE PLASMAS, SISTEMAS DINÂMICOS, BIOFÍSICA, MECÂNICA DOS FLUÍDOS, SISTEMAS DISSIPATIVO, EPILEPSIA, REDES NEURAIS
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PROTACHEVICZ, Paulo Ricardo et al. Bistable Firing Pattern in a Neural Network Model. Frontiers in Computational Neuroscience, v. 13, 2019Tradução . . Disponível em: https://doi.org/10.3389/fncom.2019.00019. Acesso em: 13 nov. 2024.
APA
Protachevicz, P. R., Borges, F. S., Lameu, E. L., Peng Ji,, Iarosz, K. C., Kihara, A. H., et al. (2019). Bistable Firing Pattern in a Neural Network Model. Frontiers in Computational Neuroscience, 13. doi:10.3389/fncom.2019.00019
NLM
Protachevicz PR, Borges FS, Lameu EL, Peng Ji, Iarosz KC, Kihara AH, Caldas IL, Szezech Jr. JD, Murilo S. Baptista, Macau EEN, Antonopoulos CG, Antonio M. Batista, Kurths J. Bistable Firing Pattern in a Neural Network Model [Internet]. Frontiers in Computational Neuroscience. 2019 ; 13[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fncom.2019.00019
Vancouver
Protachevicz PR, Borges FS, Lameu EL, Peng Ji, Iarosz KC, Kihara AH, Caldas IL, Szezech Jr. JD, Murilo S. Baptista, Macau EEN, Antonopoulos CG, Antonio M. Batista, Kurths J. Bistable Firing Pattern in a Neural Network Model [Internet]. Frontiers in Computational Neuroscience. 2019 ; 13[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fncom.2019.00019
Artigo de periodico
Bistable firing pattern in a neural network model (2019)
Protachevicz, Paulo Ricardo; Borges, Fernando S; Lameu, Ewandson L; Ji, Peng; Iarosz, Kelly Cristiane ; Kihara, Alexandre Hiroaki ; Caldas, Iberê Luiz ; Szezech Junior, José Danilo ; Baptista, Murilo da Silva ; Macau, Elbert E N ; Antonopoulos, Chris G; Batista, Antonio M; Kurths, Jürgen
Source: Frontiers in Computional Neuroscience. Unidade: IF
Subjects: REDES NEURAIS, EPILEPSIA, SINCRONIZAÇÃO
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PROTACHEVICZ, Paulo Ricardo et al. Bistable firing pattern in a neural network model. Frontiers in Computional Neuroscience, v. 13, n. 19, p. 1-8, 2019Tradução . . Disponível em: https://doi.org/10.3389/fncom.2019.00019. Acesso em: 13 nov. 2024.
APA
Protachevicz, P. R., Borges, F. S., Lameu, E. L., Ji, P., Iarosz, K. C., Kihara, A. H., et al. (2019). Bistable firing pattern in a neural network model. Frontiers in Computional Neuroscience, 13( 19), 1-8. doi:10.3389/fncom.2019.00019
NLM
Protachevicz PR, Borges FS, Lameu EL, Ji P, Iarosz KC, Kihara AH, Caldas IL, Szezech Junior JD, Baptista M da S, Macau EEN, Antonopoulos CG, Batista AM, Kurths J. Bistable firing pattern in a neural network model [Internet]. Frontiers in Computional Neuroscience. 2019 ; 13( 19): 1-8.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fncom.2019.00019
Vancouver
Protachevicz PR, Borges FS, Lameu EL, Ji P, Iarosz KC, Kihara AH, Caldas IL, Szezech Junior JD, Baptista M da S, Macau EEN, Antonopoulos CG, Batista AM, Kurths J. Bistable firing pattern in a neural network model [Internet]. Frontiers in Computional Neuroscience. 2019 ; 13( 19): 1-8.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fncom.2019.00019
Artigo de periodico
Spectra of random networks in the weak clustering regime (2018)
Peron, Thomas ; Ji, Peng; Kurths, Jürgen; Rodrigues, Francisco Aparecido
Source: Europhysics Letters - EPL. Unidade: ICMC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE
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PERON, Thomas et al. Spectra of random networks in the weak clustering regime. Europhysics Letters - EPL, v. 121, n. 6, p. 57006-p1-57006-p6, 2018Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/121/68001. Acesso em: 13 nov. 2024.
APA
Peron, T., Ji, P., Kurths, J., & Rodrigues, F. A. (2018). Spectra of random networks in the weak clustering regime. Europhysics Letters - EPL, 121( 6), 57006-p1-57006-p6. doi:10.1209/0295-5075/121/68001
NLM
Peron T, Ji P, Kurths J, Rodrigues FA. Spectra of random networks in the weak clustering regime [Internet]. Europhysics Letters - EPL. 2018 ; 121( 6): 57006-p1-57006-p6.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1209/0295-5075/121/68001
Vancouver
Peron T, Ji P, Kurths J, Rodrigues FA. Spectra of random networks in the weak clustering regime [Internet]. Europhysics Letters - EPL. 2018 ; 121( 6): 57006-p1-57006-p6.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1209/0295-5075/121/68001
Artigo de periodico
Temporal evolution of the spatial covariability of rainfall in South America (2018)
Ciemer, Catrin; Boers, Niklas; Barbosa, Henrique de Melo Jorge; Kurths, Jürgen; Rammig, Anja
Source: Climate Dynamics. Unidade: IF
Subjects: MUDANÇA CLIMÁTICA, MONÇÕES, REDES COMPLEXAS, CHUVA
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CIEMER, Catrin et al. Temporal evolution of the spatial covariability of rainfall in South America. Climate Dynamics, v. 51, n. 1–2, p. 371–382, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00382-017-3929-x. Acesso em: 13 nov. 2024.
APA
Ciemer, C., Boers, N., Barbosa, H. de M. J., Kurths, J., & Rammig, A. (2018). Temporal evolution of the spatial covariability of rainfall in South America. Climate Dynamics, 51( 1–2), 371–382. doi:10.1007/s00382-017-3929-x
NLM
Ciemer C, Boers N, Barbosa H de MJ, Kurths J, Rammig A. Temporal evolution of the spatial covariability of rainfall in South America [Internet]. Climate Dynamics. 2018 ; 51( 1–2): 371–382.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00382-017-3929-x
Vancouver
Ciemer C, Boers N, Barbosa H de MJ, Kurths J, Rammig A. Temporal evolution of the spatial covariability of rainfall in South America [Internet]. Climate Dynamics. 2018 ; 51( 1–2): 371–382.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00382-017-3929-x
Artigo de periodico
The Kuramoto model in complex networks (2016)
Rodrigues, Francisco Aparecido ; Peron, Thomas ; Ji, Peng; Kurths, Jürgen
Source: Physics Reports. Unidade: ICMC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE
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RODRIGUES, Francisco Aparecido et al. The Kuramoto model in complex networks. Physics Reports, v. 610, n. Ja 2016, p. 1-98, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2015.10.008. Acesso em: 13 nov. 2024.
APA
Rodrigues, F. A., Peron, T., Ji, P., & Kurths, J. (2016). The Kuramoto model in complex networks. Physics Reports, 610( Ja 2016), 1-98. doi:10.1016/j.physrep.2015.10.008
NLM
Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
Vancouver
Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
Artigo de periodico
Tweaking synchronization by connectivity modifications (2016)
Schultz, Paul; Peron, Thomas ; Eroglu, Deniz; Stemler, Thomas; Ávila, Gonzalo Marcelo Ramírez; Rodrigues, Francisco Aparecido ; Kurths, Jürgen
Source: Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. Unidade: ICMC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE
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SCHULTZ, Paul et al. Tweaking synchronization by connectivity modifications. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, v. 93, n. Ju 2016, 2016Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.93.062211. Acesso em: 13 nov. 2024.
APA
Schultz, P., Peron, T., Eroglu, D., Stemler, T., Ávila, G. M. R., Rodrigues, F. A., & Kurths, J. (2016). Tweaking synchronization by connectivity modifications. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, 93( Ju 2016). doi:10.1103/PhysRevE.93.062211
NLM
Schultz P, Peron T, Eroglu D, Stemler T, Ávila GMR, Rodrigues FA, Kurths J. Tweaking synchronization by connectivity modifications [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 93( Ju 2016):[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.93.062211
Vancouver
Schultz P, Peron T, Eroglu D, Stemler T, Ávila GMR, Rodrigues FA, Kurths J. Tweaking synchronization by connectivity modifications [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 93( Ju 2016):[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.93.062211
Artigo de periodico
Traveling phase waves in asymmetric networks of noisy chaotic attractors (2016)
Peron, Thomas ; Kurths, Jürgen; Rodrigues, Francisco Aparecido ; Schimansky-Geier, Lutz; Sonnenschein, Bernard
Source: Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. Unidade: ICMC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE
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PERON, Thomas et al. Traveling phase waves in asymmetric networks of noisy chaotic attractors. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, v. 94, n. 4, 2016Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.94.042210. Acesso em: 13 nov. 2024.
APA
Peron, T., Kurths, J., Rodrigues, F. A., Schimansky-Geier, L., & Sonnenschein, B. (2016). Traveling phase waves in asymmetric networks of noisy chaotic attractors. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, 94( 4). doi:10.1103/PhysRevE.94.042210
NLM
Peron T, Kurths J, Rodrigues FA, Schimansky-Geier L, Sonnenschein B. Traveling phase waves in asymmetric networks of noisy chaotic attractors [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 94( 4):[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.94.042210
Vancouver
Peron T, Kurths J, Rodrigues FA, Schimansky-Geier L, Sonnenschein B. Traveling phase waves in asymmetric networks of noisy chaotic attractors [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 94( 4):[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.94.042210
Artigo de periodico
Collective dynamics in two populations of noisy oscillators with asymmetric interactions (2015)
Sonnenschein, Bernard; Peron, Thomas ; Rodrigues, Francisco Aparecido ; Kurths, Jürgen; Schimansky-Geier, Lutz
Source: Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. Unidade: ICMC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SONNENSCHEIN, Bernard et al. Collective dynamics in two populations of noisy oscillators with asymmetric interactions. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, v. 91, n. Ju 2015, p. 062910-1-062910-7, 2015Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.91.062910. Acesso em: 13 nov. 2024.
APA
Sonnenschein, B., Peron, T., Rodrigues, F. A., Kurths, J., & Schimansky-Geier, L. (2015). Collective dynamics in two populations of noisy oscillators with asymmetric interactions. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, 91( Ju 2015), 062910-1-062910-7. doi:10.1103/PhysRevE.91.062910
NLM
Sonnenschein B, Peron T, Rodrigues FA, Kurths J, Schimansky-Geier L. Collective dynamics in two populations of noisy oscillators with asymmetric interactions [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2015 ; 91( Ju 2015): 062910-1-062910-7.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.91.062910
Vancouver
Sonnenschein B, Peron T, Rodrigues FA, Kurths J, Schimansky-Geier L. Collective dynamics in two populations of noisy oscillators with asymmetric interactions [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2015 ; 91( Ju 2015): 062910-1-062910-7.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.91.062910
Artigo de periodico
Effects of assortative mixing in the second-order Kuramoto model (2015)
Peron, Thomas ; Ji, Peng; Rodrigues, Francisco Aparecido ; Kurths, Jürgen
Source: Physical Review E. Unidade: ICMC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERON, Thomas et al. Effects of assortative mixing in the second-order Kuramoto model. Physical Review E, v. 91, n. 5, p. 052805-1-052805-6, 2015Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.91.052805. Acesso em: 13 nov. 2024.
APA
Peron, T., Ji, P., Rodrigues, F. A., & Kurths, J. (2015). Effects of assortative mixing in the second-order Kuramoto model. Physical Review E, 91( 5), 052805-1-052805-6. doi:10.1103/PhysRevE.91.052805
NLM
Peron T, Ji P, Rodrigues FA, Kurths J. Effects of assortative mixing in the second-order Kuramoto model [Internet]. Physical Review E. 2015 ; 91( 5): 052805-1-052805-6.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.91.052805
Vancouver
Peron T, Ji P, Rodrigues FA, Kurths J. Effects of assortative mixing in the second-order Kuramoto model [Internet]. Physical Review E. 2015 ; 91( 5): 052805-1-052805-6.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.91.052805
Artigo de periodico
Low-dimensional behavior of Kuramoto model with inertia in complex networks (2014)
Ji, Peng; Peron, Thomas ; Rodrigues, Francisco Aparecido ; Kurths, Jürgen
Source: Scientific Reports. Unidade: ICMC
Assunto: REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JI, Peng et al. Low-dimensional behavior of Kuramoto model with inertia in complex networks. Scientific Reports, v. 4, p. 4783-1-4783-6, 2014Tradução . . Disponível em: https://doi.org/10.1038/srep04783. Acesso em: 13 nov. 2024.
APA
Ji, P., Peron, T., Rodrigues, F. A., & Kurths, J. (2014). Low-dimensional behavior of Kuramoto model with inertia in complex networks. Scientific Reports, 4, 4783-1-4783-6. doi:10.1038/srep04783
NLM
Ji P, Peron T, Rodrigues FA, Kurths J. Low-dimensional behavior of Kuramoto model with inertia in complex networks [Internet]. Scientific Reports. 2014 ; 4 4783-1-4783-6.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1038/srep04783
Vancouver
Ji P, Peron T, Rodrigues FA, Kurths J. Low-dimensional behavior of Kuramoto model with inertia in complex networks [Internet]. Scientific Reports. 2014 ; 4 4783-1-4783-6.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1038/srep04783
Artigo de periodico
Cooperative behavior between oscillatory and excitable units: the peculiar role of positive coupling-frequency correlations (2014)
Sonnenschein, Bernard; Peron, Thomas ; Rodrigues, Francisco Aparecido ; Kurths, Jürgen; Schimansky-Geier, Lutz
Source: European Physical Journal B. Unidade: ICMC
Subjects: REDES COMPLEXAS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, PROCESSOS ESTOCÁSTICOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SONNENSCHEIN, Bernard et al. Cooperative behavior between oscillatory and excitable units: the peculiar role of positive coupling-frequency correlations. European Physical Journal B, v. 87, n. 8, p. 1-11, 2014Tradução . . Disponível em: https://doi.org/10.1140/epjb/e2014-50274-2. Acesso em: 13 nov. 2024.
APA
Sonnenschein, B., Peron, T., Rodrigues, F. A., Kurths, J., & Schimansky-Geier, L. (2014). Cooperative behavior between oscillatory and excitable units: the peculiar role of positive coupling-frequency correlations. European Physical Journal B, 87( 8), 1-11. doi:10.1140/epjb/e2014-50274-2
NLM
Sonnenschein B, Peron T, Rodrigues FA, Kurths J, Schimansky-Geier L. Cooperative behavior between oscillatory and excitable units: the peculiar role of positive coupling-frequency correlations [Internet]. European Physical Journal B. 2014 ; 87( 8): 1-11.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1140/epjb/e2014-50274-2
Vancouver
Sonnenschein B, Peron T, Rodrigues FA, Kurths J, Schimansky-Geier L. Cooperative behavior between oscillatory and excitable units: the peculiar role of positive coupling-frequency correlations [Internet]. European Physical Journal B. 2014 ; 87( 8): 1-11.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1140/epjb/e2014-50274-2
Artigo de periodico
Analysis of cluster explosive synchronization in complex networks (2014)
Ji, Peng; Peron, Thomas ; Rodrigues, Francisco Aparecido ; Kurths, Jürgen
Source: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). Unidade: ICMC
Assunto: REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JI, Peng et al. Analysis of cluster explosive synchronization in complex networks. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), v. 90, n. 6, p. 062810-1 - 062810-10, 2014Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.90.062810. Acesso em: 13 nov. 2024.
APA
Ji, P., Peron, T., Rodrigues, F. A., & Kurths, J. (2014). Analysis of cluster explosive synchronization in complex networks. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), 90( 6), 062810-1 - 062810-10. doi:10.1103/PhysRevE.90.062810
NLM
Ji P, Peron T, Rodrigues FA, Kurths J. Analysis of cluster explosive synchronization in complex networks [Internet]. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 2014 ; 90( 6): 062810-1 - 062810-10.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.90.062810
Vancouver
Ji P, Peron T, Rodrigues FA, Kurths J. Analysis of cluster explosive synchronization in complex networks [Internet]. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 2014 ; 90( 6): 062810-1 - 062810-10.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1103/PhysRevE.90.062810

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