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Artigo de periodico
Fuzzy modelling as an intelligent tool to study animal behaviour: An application to birds with environmental enrichment (2024)
Nazareno, Aérica Cirqueira ; Silveira, Robson Mateus Freitas ; Castro Júnior, Sérgio Luís de ; Silva, Iran José Oliveira da
Source: Applied Animal Behaviour Science. Unidade: ESALQ
Subjects: BEM-ESTAR DO ANIMAL, COMPORTAMENTO ANIMAL, FRANGOS DE CORTE, INTELIGÊNCIA ARTIFICIAL, LÓGICA FUZZY
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NAZARENO, Aérica Cirqueira et al. Fuzzy modelling as an intelligent tool to study animal behaviour: An application to birds with environmental enrichment. Applied Animal Behaviour Science, v. 270, p. 1-8, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.applanim.2023.106149. Acesso em: 14 nov. 2024.
APA
Nazareno, A. C., Silveira, R. M. F., Castro Júnior, S. L. de, & Silva, I. J. O. da. (2024). Fuzzy modelling as an intelligent tool to study animal behaviour: An application to birds with environmental enrichment. Applied Animal Behaviour Science, 270, 1-8. doi:10.1016/j.applanim.2023.106149
NLM
Nazareno AC, Silveira RMF, Castro Júnior SL de, Silva IJO da. Fuzzy modelling as an intelligent tool to study animal behaviour: An application to birds with environmental enrichment [Internet]. Applied Animal Behaviour Science. 2024 ; 270 1-8.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.applanim.2023.106149
Vancouver
Nazareno AC, Silveira RMF, Castro Júnior SL de, Silva IJO da. Fuzzy modelling as an intelligent tool to study animal behaviour: An application to birds with environmental enrichment [Internet]. Applied Animal Behaviour Science. 2024 ; 270 1-8.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.applanim.2023.106149
Trabalho de evento-anais periodico
Exploring the impact of AI on candidate selection: a two-phase methodological approach with CRITIC-WASPAS (2024)
Pinochet, Luis Hernan Contreras ; Lopes, Nathalia Sertório; Onusic, Luciana Massaro; Santos, Marcos dos; Pardim, Vanessa Itacaramby ; Francischini, Andresa Silva Neto
Source: Procedia Computer Science. Conference titles: International Conference on Information Technology and Quantitative Management (ITQM 2024). Unidade: FEA
Subjects: SELEÇÃO DE PESSOAL, INTELIGÊNCIA ARTIFICIAL, TOMADA DE DECISÃO (ADMINISTRAÇÃO EXECUTIVA)
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PINOCHET, Luis Hernan Contreras et al. Exploring the impact of AI on candidate selection: a two-phase methodological approach with CRITIC-WASPAS. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. Disponível em: https://www.sciencedirect.com/science/article/pii/S1877050924019938/pdf?md5=18125392912e14d30030ef9146d09bd2&pid=1-s2.0-S1877050924019938-main.pdf. Acesso em: 14 nov. 2024. , 2024
APA
Pinochet, L. H. C., Lopes, N. S., Onusic, L. M., Santos, M. dos, Pardim, V. I., & Francischini, A. S. N. (2024). Exploring the impact of AI on candidate selection: a two-phase methodological approach with CRITIC-WASPAS. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. doi:10.1016/j.procs.2024.08.274
NLM
Pinochet LHC, Lopes NS, Onusic LM, Santos M dos, Pardim VI, Francischini ASN. Exploring the impact of AI on candidate selection: a two-phase methodological approach with CRITIC-WASPAS [Internet]. Procedia Computer Science. 2024 ; 242 920-927.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050924019938/pdf?md5=18125392912e14d30030ef9146d09bd2&pid=1-s2.0-S1877050924019938-main.pdf
Vancouver
Pinochet LHC, Lopes NS, Onusic LM, Santos M dos, Pardim VI, Francischini ASN. Exploring the impact of AI on candidate selection: a two-phase methodological approach with CRITIC-WASPAS [Internet]. Procedia Computer Science. 2024 ; 242 920-927.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050924019938/pdf?md5=18125392912e14d30030ef9146d09bd2&pid=1-s2.0-S1877050924019938-main.pdf
Artigo de periodico
Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502] (2024)
Silveira, Robson Mateus Freitas ; Façanha, Débora Andréa Evangelista; McManus, Concepta; Bermejo Asensio, Luis Alberto; Silva, Iran José Oliveira da
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: ADAPTAÇÃO ANIMAL, ALGORITMOS, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, PRODUÇÃO ANIMAL, REGULAÇÃO DA TEMPERATURA CORPORAL ANIMAL, SENSOR
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ABNT
SILVEIRA, Robson Mateus Freitas et al. Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502]. Computers and Electronics in Agriculture, v. 218, p. 1, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2024.108673. Acesso em: 14 nov. 2024.
APA
Silveira, R. M. F., Façanha, D. A. E., McManus, C., Bermejo Asensio, L. A., & Silva, I. J. O. da. (2024). Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502]. Computers and Electronics in Agriculture, 218, 1. doi:10.1016/j.compag.2024.108673
NLM
Silveira RMF, Façanha DAE, McManus C, Bermejo Asensio LA, Silva IJO da. Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502] [Internet]. Computers and Electronics in Agriculture. 2024 ; 218 1.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2024.108673
Vancouver
Silveira RMF, Façanha DAE, McManus C, Bermejo Asensio LA, Silva IJO da. Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502] [Internet]. Computers and Electronics in Agriculture. 2024 ; 218 1.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2024.108673
Artigo de periodico
Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models (2024)
Satizábal Alarcón, Diego Alejandro ; Suhogusoff, Alexandra Vieira ; Ferrari, Luiz Carlos
Source: Science of The Total Environment. Unidade: IGC
Subjects: ÁGUAS SUBTERRÂNEAS, SENSORIAMENTO REMOTO, INTELIGÊNCIA ARTIFICIAL, ANÁLISE DE SÉRIES TEMPORAIS
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SATIZÁBAL ALARCÓN, Diego Alejandro e SUHOGUSOFF, Alexandra Vieira e FERRARI, Luiz Carlos. Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models. Science of The Total Environment, v. 912, n. , p. 168958-, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.scitotenv.2023.168958. Acesso em: 14 nov. 2024.
APA
Satizábal Alarcón, D. A., Suhogusoff, A. V., & Ferrari, L. C. (2024). Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models. Science of The Total Environment, 912( ), 168958-. doi:10.1016/j.scitotenv.2023.168958
NLM
Satizábal Alarcón DA, Suhogusoff AV, Ferrari LC. Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models [Internet]. Science of The Total Environment. 2024 ; 912( ): 168958-.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.scitotenv.2023.168958
Vancouver
Satizábal Alarcón DA, Suhogusoff AV, Ferrari LC. Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models [Internet]. Science of The Total Environment. 2024 ; 912( ): 168958-.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.scitotenv.2023.168958
Artigo de periodico
Discrimination of ingestive behavior in sheep using an electronic device based on a triaxial accelerometer and machine learning (2024)
Amorim, Magno do Nascimento; Turco, Silvia Helena Nogueira; Costa, Daniel dos Santos; Ferreira, Iara Jeanice Souza; Silva, Wedson Pereira da; Sabino, Antonio Leopoldo Cardoso ; Oliveira da Silva-Miranda, Késia
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: ALIMENTAÇÃO ANIMAL, AMOSTRAGEM, APRENDIZADO COMPUTACIONAL, DISPOSITIVOS ELETRÔNICOS, INGESTÃO, INTELIGÊNCIA ARTIFICIAL, OVINOS
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ABNT
AMORIM, Magno do Nascimento et al. Discrimination of ingestive behavior in sheep using an electronic device based on a triaxial accelerometer and machine learning. Computers and Electronics in Agriculture, v. 218, p. 1-8, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2024.108657. Acesso em: 14 nov. 2024.
APA
Amorim, M. do N., Turco, S. H. N., Costa, D. dos S., Ferreira, I. J. S., Silva, W. P. da, Sabino, A. L. C., & Oliveira da Silva-Miranda, K. (2024). Discrimination of ingestive behavior in sheep using an electronic device based on a triaxial accelerometer and machine learning. Computers and Electronics in Agriculture, 218, 1-8. doi:10.1016/j.compag.2024.108657
NLM
Amorim M do N, Turco SHN, Costa D dos S, Ferreira IJS, Silva WP da, Sabino ALC, Oliveira da Silva-Miranda K. Discrimination of ingestive behavior in sheep using an electronic device based on a triaxial accelerometer and machine learning [Internet]. Computers and Electronics in Agriculture. 2024 ; 218 1-8.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2024.108657
Vancouver
Amorim M do N, Turco SHN, Costa D dos S, Ferreira IJS, Silva WP da, Sabino ALC, Oliveira da Silva-Miranda K. Discrimination of ingestive behavior in sheep using an electronic device based on a triaxial accelerometer and machine learning [Internet]. Computers and Electronics in Agriculture. 2024 ; 218 1-8.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2024.108657
Artigo de periodico
Exploring Brazilian teachers' perceptions and a priori needs to design smart classrooms (2024)
Ferreira, Andreza ; Lima, Danielli Araújo ; Santos, Wilk Oliveira dos ; Pinto, Ig Ibert Bittencourt Santana ; Dermeval, Diego ; Reimers, Fernando ; Isotani, Seiji
Source: International Journal of Artificial Intelligence in Education. Unidade: ICMC
Subjects: PESQUISA QUALITATIVA, INTELIGÊNCIA ARTIFICIAL, EDUCAÇÃO, ENSINO E APRENDIZAGEM
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ABNT
FERREIRA, Andreza et al. Exploring Brazilian teachers' perceptions and a priori needs to design smart classrooms. International Journal of Artificial Intelligence in Education, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40593-024-00410-4. Acesso em: 14 nov. 2024.
APA
Ferreira, A., Lima, D. A., Santos, W. O. dos, Pinto, I. I. B. S., Dermeval, D., Reimers, F., & Isotani, S. (2024). Exploring Brazilian teachers' perceptions and a priori needs to design smart classrooms. International Journal of Artificial Intelligence in Education. doi:10.1007/s40593-024-00410-4
NLM
Ferreira A, Lima DA, Santos WO dos, Pinto IIBS, Dermeval D, Reimers F, Isotani S. Exploring Brazilian teachers' perceptions and a priori needs to design smart classrooms [Internet]. International Journal of Artificial Intelligence in Education. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s40593-024-00410-4
Vancouver
Ferreira A, Lima DA, Santos WO dos, Pinto IIBS, Dermeval D, Reimers F, Isotani S. Exploring Brazilian teachers' perceptions and a priori needs to design smart classrooms [Internet]. International Journal of Artificial Intelligence in Education. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s40593-024-00410-4
Artigo de periodico
Predicting tree failure to define roles and guidelines in risk management, a case study in São Paulo / Brazil (2024)
Cavalari, Aline Andreia ; Del Nero Velasco, Giuliana ; Luz, Cíntia Luíza da Silva ; Rosa, Alexandra Soares ; Waetge, Andréa de Abreu Neder ; Barbosa, Elvis de Souza ; Biazzo, Fatima Cristina Marrichi ; Kavamura, Helena Emi ; Silva Filho, Carlos Alberto da; Silva, Edgard Bastos de Freitas Back ; Locosselli, Giuliano Maselli
Source: Urban Forestry and Urban Greening. Unidades: CENA, IB
Subjects: ÁRVORES, PLANEJAMENTO TERRITORIAL URBANO, INTELIGÊNCIA ARTIFICIAL
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ABNT
CAVALARI, Aline Andreia et al. Predicting tree failure to define roles and guidelines in risk management, a case study in São Paulo / Brazil. Urban Forestry and Urban Greening, v. 91, p. 1-10, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ufug.2023.128181. Acesso em: 14 nov. 2024.
APA
Cavalari, A. A., Del Nero Velasco, G., Luz, C. L. da S., Rosa, A. S., Waetge, A. de A. N., Barbosa, E. de S., et al. (2024). Predicting tree failure to define roles and guidelines in risk management, a case study in São Paulo / Brazil. Urban Forestry and Urban Greening, 91, 1-10. doi:10.1016/j.ufug.2023.128181
NLM
Cavalari AA, Del Nero Velasco G, Luz CL da S, Rosa AS, Waetge A de AN, Barbosa E de S, Biazzo FCM, Kavamura HE, Silva Filho CA da, Silva EB de FB, Locosselli GM. Predicting tree failure to define roles and guidelines in risk management, a case study in São Paulo / Brazil [Internet]. Urban Forestry and Urban Greening. 2024 ; 91 1-10.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ufug.2023.128181
Vancouver
Cavalari AA, Del Nero Velasco G, Luz CL da S, Rosa AS, Waetge A de AN, Barbosa E de S, Biazzo FCM, Kavamura HE, Silva Filho CA da, Silva EB de FB, Locosselli GM. Predicting tree failure to define roles and guidelines in risk management, a case study in São Paulo / Brazil [Internet]. Urban Forestry and Urban Greening. 2024 ; 91 1-10.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ufug.2023.128181
Artigo de periodico
Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals (2024)
Silveira, Robson Mateus Freitas ; Façanha, Débora Andréa Evangelista; McManus, Concepta; Bermejo Asensio, Luis Alberto; Silva, Iran José Oliveira da
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: ADAPTAÇÃO ANIMAL, ALGORITMOS, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, PRODUÇÃO ANIMAL, REGULAÇÃO DA TEMPERATURA CORPORAL ANIMAL, SENSOR
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ABNT
SILVEIRA, Robson Mateus Freitas et al. Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals. Computers and Electronics in Agriculture, v. 216, p. 1-11, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2023.108502. Acesso em: 14 nov. 2024.
APA
Silveira, R. M. F., Façanha, D. A. E., McManus, C., Bermejo Asensio, L. A., & Silva, I. J. O. da. (2024). Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals. Computers and Electronics in Agriculture, 216, 1-11. doi:10.1016/j.compag.2023.108502
NLM
Silveira RMF, Façanha DAE, McManus C, Bermejo Asensio LA, Silva IJO da. Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals [Internet]. Computers and Electronics in Agriculture. 2024 ; 216 1-11.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2023.108502
Vancouver
Silveira RMF, Façanha DAE, McManus C, Bermejo Asensio LA, Silva IJO da. Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals [Internet]. Computers and Electronics in Agriculture. 2024 ; 216 1-11.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2023.108502
Artigo de periodico
Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models (2024)
Tamoto, Hugo; Gioria, Rafael dos Santos ; Carneiro, Cleyton de Carvalho
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: PETROGRAFIA, INTELIGÊNCIA ARTIFICIAL
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ABNT
TAMOTO, Hugo e GIORIA, Rafael dos Santos e CARNEIRO, Cleyton de Carvalho. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models. Journal of Petroleum Science and Engineering, v. 220, p. 10 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.111169. Acesso em: 14 nov. 2024.
APA
Tamoto, H., Gioria, R. dos S., & Carneiro, C. de C. (2024). Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models. Journal of Petroleum Science and Engineering, 220, 10 . doi:10.1016/j.petrol.2022.111169
NLM
Tamoto H, Gioria R dos S, Carneiro C de C. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models [Internet]. Journal of Petroleum Science and Engineering. 2024 ; 220 10 .[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
Vancouver
Tamoto H, Gioria R dos S, Carneiro C de C. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models [Internet]. Journal of Petroleum Science and Engineering. 2024 ; 220 10 .[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
Artigo de periodico
Artificial intelligence in the judiciary: a critical view (2024)
Dias, Stephanie Almeida de Jesus; Sátiro, Renato Maximo
Source: Futures. Unidade: ESALQ
Subjects: INTELIGÊNCIA ARTIFICIAL, PODER JUDICIÁRIO, TEORIA CRÍTICA
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ABNT
DIAS, Stephanie Almeida de Jesus e SÁTIRO, Renato Maximo. Artificial intelligence in the judiciary: a critical view. Futures, v. 164, p. 1-9, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.futures.2024.103493. Acesso em: 14 nov. 2024.
APA
Dias, S. A. de J., & Sátiro, R. M. (2024). Artificial intelligence in the judiciary: a critical view. Futures, 164, 1-9. doi:10.1016/j.futures.2024.103493
NLM
Dias SA de J, Sátiro RM. Artificial intelligence in the judiciary: a critical view [Internet]. Futures. 2024 ; 164 1-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.futures.2024.103493
Vancouver
Dias SA de J, Sátiro RM. Artificial intelligence in the judiciary: a critical view [Internet]. Futures. 2024 ; 164 1-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.futures.2024.103493
Trabalho de evento-anais periodico
Implementation of data lake: narratives of quasi-outsourcing (2024)
Franca, Cintia Sousa de; Imoniana, Joshua Onome ; Reginato, Luciane ; Cornacchione Junior, Edgard Bruno
Source: Procedia Computer Science. Conference titles: International Conference on Ambient Systems, Networks and Technologies (ANT). Unidade: FEA
Subjects: BIG DATA, PROCESSAMENTO DE DADOS, INTELIGÊNCIA ARTIFICIAL
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ABNT
FRANCA, Cintia Sousa de et al. Implementation of data lake: narratives of quasi-outsourcing. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. Disponível em: https://www.sciencedirect.com/science/article/pii/S187705092401295X/pdf?md5=de75ad063e4fa741f8c6946296c7e4f6&pid=1-s2.0-S187705092401295X-main.pdf. Acesso em: 14 nov. 2024. , 2024
APA
Franca, C. S. de, Imoniana, J. O., Reginato, L., & Cornacchione Junior, E. B. (2024). Implementation of data lake: narratives of quasi-outsourcing. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. doi:10.1016/j.procs.2024.06.059
NLM
Franca CS de, Imoniana JO, Reginato L, Cornacchione Junior EB. Implementation of data lake: narratives of quasi-outsourcing [Internet]. Procedia Computer Science. 2024 ; 238 550–557.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S187705092401295X/pdf?md5=de75ad063e4fa741f8c6946296c7e4f6&pid=1-s2.0-S187705092401295X-main.pdf
Vancouver
Franca CS de, Imoniana JO, Reginato L, Cornacchione Junior EB. Implementation of data lake: narratives of quasi-outsourcing [Internet]. Procedia Computer Science. 2024 ; 238 550–557.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S187705092401295X/pdf?md5=de75ad063e4fa741f8c6946296c7e4f6&pid=1-s2.0-S187705092401295X-main.pdf
Trabalho de evento-anais periodico
Relationships between (un)known consequences of artificial intelligence usage in an organizational or societal context (2024)
Imoniana, Joshua Onome ; Cornacchione Junior, Edgard Bruno ; Reginato, Luciane ; Silva, Washington Lopes da
Source: Procedia Computer Science. Conference titles: International Symposium on Frontiers in Ambient and Mobile Systems (FAMS 2024). Unidade: FEA
Subjects: INTELIGÊNCIA ARTIFICIAL, INTELIGÊNCIA ARTIFICIAL
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ABNT
IMONIANA, Joshua Onome et al. Relationships between (un)known consequences of artificial intelligence usage in an organizational or societal context. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. Disponível em: https://www.sciencedirect.com/science/article/pii/S187705092401336X/pdf?md5=b72f13cbc80354f5b97fb2ab4cf7ad31&pid=1-s2.0-S187705092401336X-main.pdf. Acesso em: 14 nov. 2024. , 2024
APA
Imoniana, J. O., Cornacchione Junior, E. B., Reginato, L., & Silva, W. L. da. (2024). Relationships between (un)known consequences of artificial intelligence usage in an organizational or societal context. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. doi:10.1016/j.procs.2024.06.100
NLM
Imoniana JO, Cornacchione Junior EB, Reginato L, Silva WL da. Relationships between (un)known consequences of artificial intelligence usage in an organizational or societal context [Internet]. Procedia Computer Science. 2024 ; 238 833-840.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S187705092401336X/pdf?md5=b72f13cbc80354f5b97fb2ab4cf7ad31&pid=1-s2.0-S187705092401336X-main.pdf
Vancouver
Imoniana JO, Cornacchione Junior EB, Reginato L, Silva WL da. Relationships between (un)known consequences of artificial intelligence usage in an organizational or societal context [Internet]. Procedia Computer Science. 2024 ; 238 833-840.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S187705092401336X/pdf?md5=b72f13cbc80354f5b97fb2ab4cf7ad31&pid=1-s2.0-S187705092401336X-main.pdf
Trabalho de evento-anais periodico
Developing a meta-analysis on personal innovation and intention to participate in productivity in the metaverse: a step-by-step guide (2024)
Pinochet, Luis Hernan Contreras ; Barbosa, Thamires Nogueira; Pardim, Vanessa Itacaramby
Source: Procedia Computer Science. Conference titles: International Conference on Information Technology and Quantitative Management (ITQM 2024). Unidade: FEA
Subjects: INOVAÇÕES TECNOLÓGICAS, REALIDADE VIRTUAL, INTELIGÊNCIA ARTIFICIAL, PRODUTIVIDADE, METANÁLISE
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ABNT
PINOCHET, Luis Hernan Contreras e BARBOSA, Thamires Nogueira e PARDIM, Vanessa Itacaramby. Developing a meta-analysis on personal innovation and intention to participate in productivity in the metaverse: a step-by-step guide. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. Disponível em: https://www.sciencedirect.com/science/article/pii/S1877050924019896/pdf?md5=1f2e246033a9b20e68b42d4f752831e5&pid=1-s2.0-S1877050924019896-main.pdf. Acesso em: 14 nov. 2024. , 2024
APA
Pinochet, L. H. C., Barbosa, T. N., & Pardim, V. I. (2024). Developing a meta-analysis on personal innovation and intention to participate in productivity in the metaverse: a step-by-step guide. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. doi:10.1016/j.procs.2024.08.270
NLM
Pinochet LHC, Barbosa TN, Pardim VI. Developing a meta-analysis on personal innovation and intention to participate in productivity in the metaverse: a step-by-step guide [Internet]. Procedia Computer Science. 2024 ; 242 904-911.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050924019896/pdf?md5=1f2e246033a9b20e68b42d4f752831e5&pid=1-s2.0-S1877050924019896-main.pdf
Vancouver
Pinochet LHC, Barbosa TN, Pardim VI. Developing a meta-analysis on personal innovation and intention to participate in productivity in the metaverse: a step-by-step guide [Internet]. Procedia Computer Science. 2024 ; 242 904-911.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050924019896/pdf?md5=1f2e246033a9b20e68b42d4f752831e5&pid=1-s2.0-S1877050924019896-main.pdf
Artigo de periodico
Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils (2024)
Silva, Alexandre Ataíde da ; Oliveira, Ricardo A.G. de; Giordano, Gabriela F.; Silva, Giulia S. da; Murer, Rui C.; Vieira, Luis C.S.; Lorevice, Marcos V.; Gouveia, Rubia F.; Carvalho, Rogerio M.; Shimizu, Flavio M.; Gobbi, Angelo L.; Lima, Renato Sousa
Source: Sensors and Actuators B: Chemical. Unidade: IQSC
Subjects: ÍONS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Alexandre Ataíde da et al. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils. Sensors and Actuators B: Chemical, v. 403, p. 135151, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.snb.2023.135151. Acesso em: 14 nov. 2024.
APA
Silva, A. A. da, Oliveira, R. A. G. de, Giordano, G. F., Silva, G. S. da, Murer, R. C., Vieira, L. C. S., et al. (2024). Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils. Sensors and Actuators B: Chemical, 403, 135151. doi:10.1016/j.snb.2023.135151
NLM
Silva AA da, Oliveira RAG de, Giordano GF, Silva GS da, Murer RC, Vieira LCS, Lorevice MV, Gouveia RF, Carvalho RM, Shimizu FM, Gobbi AL, Lima RS. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils [Internet]. Sensors and Actuators B: Chemical. 2024 ;403 135151.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.snb.2023.135151
Vancouver
Silva AA da, Oliveira RAG de, Giordano GF, Silva GS da, Murer RC, Vieira LCS, Lorevice MV, Gouveia RF, Carvalho RM, Shimizu FM, Gobbi AL, Lima RS. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils [Internet]. Sensors and Actuators B: Chemical. 2024 ;403 135151.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.snb.2023.135151
Artigo de periodico
Applications of constraint programming in production scheduling problems: a descriptive bibliometric analysis (2024)
Prata, Bruno de Athayde; Abreu, Levi Ribeiro de; Nagano, Marcelo Seido
Source: Results in Control and Optimization. Unidade: EESC
Subjects: PROGRAMAÇÃO DA PRODUÇÃO, INTELIGÊNCIA ARTIFICIAL, BIBLIOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATA, Bruno de Athayde e ABREU, Levi Ribeiro de e NAGANO, Marcelo Seido. Applications of constraint programming in production scheduling problems: a descriptive bibliometric analysis. Results in Control and Optimization, v. 14, p. 1-17, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.rico.2023.100350. Acesso em: 14 nov. 2024.
APA
Prata, B. de A., Abreu, L. R. de, & Nagano, M. S. (2024). Applications of constraint programming in production scheduling problems: a descriptive bibliometric analysis. Results in Control and Optimization, 14, 1-17. doi:10.1016/j.rico.2023.100350
NLM
Prata B de A, Abreu LR de, Nagano MS. Applications of constraint programming in production scheduling problems: a descriptive bibliometric analysis [Internet]. Results in Control and Optimization. 2024 ; 14 1-17.[citado 2024 nov. 14 ] Available from: http://dx.doi.org/10.1016/j.rico.2023.100350
Vancouver
Prata B de A, Abreu LR de, Nagano MS. Applications of constraint programming in production scheduling problems: a descriptive bibliometric analysis [Internet]. Results in Control and Optimization. 2024 ; 14 1-17.[citado 2024 nov. 14 ] Available from: http://dx.doi.org/10.1016/j.rico.2023.100350
Artigo de periodico
A reasonable request for true data sharing (2024)
Lubiana, Tiago ; Nakaya, Helder Takashi Imoto
Source: The Lancet Regional Health - Americas. Unidade: FCF
Subjects: CIÊNCIA, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LUBIANA, Tiago e NAKAYA, Helder Takashi Imoto. A reasonable request for true data sharing. The Lancet Regional Health - Americas, v. 35, p. 1-2 art. 100795, 2024Tradução . . Disponível em: https://dx.doi.org/10.1016/j.lana.2024.100795. Acesso em: 14 nov. 2024.
APA
Lubiana, T., & Nakaya, H. T. I. (2024). A reasonable request for true data sharing. The Lancet Regional Health - Americas, 35, 1-2 art. 100795. doi:10.1016/j.lana.2024. 100795
NLM
Lubiana T, Nakaya HTI. A reasonable request for true data sharing [Internet]. The Lancet Regional Health - Americas. 2024 ; 35 1-2 art. 100795.[citado 2024 nov. 14 ] Available from: https://dx.doi.org/10.1016/j.lana.2024.100795
Vancouver
Lubiana T, Nakaya HTI. A reasonable request for true data sharing [Internet]. The Lancet Regional Health - Americas. 2024 ; 35 1-2 art. 100795.[citado 2024 nov. 14 ] Available from: https://dx.doi.org/10.1016/j.lana.2024.100795
Artigo de periodico
Positive artificial intelligence in education (P-AIED): a roadmap (2023)
Pinto, Ig Ibert Bittencourt Santana ; Challco, Geiser Chalco ; Santos, Jário ; Fernandes, Sheyla ; Silva, Jesana ; Batista, Naricla ; Hutz, Claudio ; Isotani, Seiji
Source: International Journal of Artificial Intelligence in Education. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, EDUCAÇÃO, APRENDIZAGEM, PSICOLOGIA POSITIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO, Ig Ibert Bittencourt Santana et al. Positive artificial intelligence in education (P-AIED): a roadmap. International Journal of Artificial Intelligence in Education, 2023Tradução . . Disponível em: https://doi.org/10.1007/s40593-023-00357-y. Acesso em: 14 nov. 2024.
APA
Pinto, I. I. B. S., Challco, G. C., Santos, J., Fernandes, S., Silva, J., Batista, N., et al. (2023). Positive artificial intelligence in education (P-AIED): a roadmap. International Journal of Artificial Intelligence in Education. doi:10.1007/s40593-023-00357-y
NLM
Pinto IIBS, Challco GC, Santos J, Fernandes S, Silva J, Batista N, Hutz C, Isotani S. Positive artificial intelligence in education (P-AIED): a roadmap [Internet]. International Journal of Artificial Intelligence in Education. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s40593-023-00357-y
Vancouver
Pinto IIBS, Challco GC, Santos J, Fernandes S, Silva J, Batista N, Hutz C, Isotani S. Positive artificial intelligence in education (P-AIED): a roadmap [Internet]. International Journal of Artificial Intelligence in Education. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s40593-023-00357-y
Artigo de periodico
Structure and function in artificial, zebrafish and human neural networks (2023)
Ji, Peng ; Wang, Yufan ; Peron, Thomas ; Li, Chunhe; Nagler, Jan ; Du, Jiulin
Source: Physics of Life Reviews. Unidade: ICMC
Subjects: NEUROCIÊNCIAS, INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JI, Peng et al. Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews, v. 45, p. 74-111, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2023.04.004. Acesso em: 14 nov. 2024.
APA
Ji, P., Wang, Y., Peron, T., Li, C., Nagler, J., & Du, J. (2023). Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews, 45, 74-111. doi:10.1016/j.plrev.2023.04.004
NLM
Ji P, Wang Y, Peron T, Li C, Nagler J, Du J. Structure and function in artificial, zebrafish and human neural networks [Internet]. Physics of Life Reviews. 2023 ; 45 74-111.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.plrev.2023.04.004
Vancouver
Ji P, Wang Y, Peron T, Li C, Nagler J, Du J. Structure and function in artificial, zebrafish and human neural networks [Internet]. Physics of Life Reviews. 2023 ; 45 74-111.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.plrev.2023.04.004
Trabalho de evento-anais periodico
Collaborative work alternatives with ChatGPT based on evaluation criteria for its use in higher education: application of the PROMETHEE-SAPEVO-M1 method (2023)
Pinochet, Luis Hernan Contreras ; Moreira, Miguel Ângelo Lellis ; Fávero, Luiz Paulo Lopes ; Santos, Marcos dos; Pardim, Vanessa Itacaramby
Source: Procedia Computer Science. Conference titles: International Conference on Information Technology and Quantitative Management (ITQM 2023). Unidade: FEA
Subjects: INTELIGÊNCIA ARTIFICIAL, ENSINO SUPERIOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINOCHET, Luis Hernan Contreras et al. Collaborative work alternatives with ChatGPT based on evaluation criteria for its use in higher education: application of the PROMETHEE-SAPEVO-M1 method. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. Disponível em: https://www.sciencedirect.com/science/article/pii/S1877050923007214/pdf?md5=2c0f6fecfcd069c86af4d4a390858040&pid=1-s2.0-S1877050923007214-main.pdf. Acesso em: 14 nov. 2024. , 2023
APA
Pinochet, L. H. C., Moreira, M. Â. L., Fávero, L. P. L., Santos, M. dos, & Pardim, V. I. (2023). Collaborative work alternatives with ChatGPT based on evaluation criteria for its use in higher education: application of the PROMETHEE-SAPEVO-M1 method. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. doi:10.1016/j.procs.2023.07.025
NLM
Pinochet LHC, Moreira MÂL, Fávero LPL, Santos M dos, Pardim VI. Collaborative work alternatives with ChatGPT based on evaluation criteria for its use in higher education: application of the PROMETHEE-SAPEVO-M1 method [Internet]. Procedia Computer Science. 2023 ; 221 177-184.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050923007214/pdf?md5=2c0f6fecfcd069c86af4d4a390858040&pid=1-s2.0-S1877050923007214-main.pdf
Vancouver
Pinochet LHC, Moreira MÂL, Fávero LPL, Santos M dos, Pardim VI. Collaborative work alternatives with ChatGPT based on evaluation criteria for its use in higher education: application of the PROMETHEE-SAPEVO-M1 method [Internet]. Procedia Computer Science. 2023 ; 221 177-184.[citado 2024 nov. 14 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050923007214/pdf?md5=2c0f6fecfcd069c86af4d4a390858040&pid=1-s2.0-S1877050923007214-main.pdf
Artigo de periodico
Machine learning for longitudinal mortality risk prediction in patients with malignant neoplasm in São Paulo, Brazil (2023)
Silva, Gabriela Fideles; Duarte, L. S; Shirassu, Mirian Matsura; Peres, S. V; Moraes, M. A. de; Chiavegatto Filho, Alexandre Dias Porto
Source: Artificial Intelligence in the Life Sciences. Unidade: FSP
Subjects: NEOPLASIAS, APRENDIZADO COMPUTACIONAL, MORTALIDADE, INTELIGÊNCIA ARTIFICIAL, PREDIÇÃO, BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Gabriela Fideles et al. Machine learning for longitudinal mortality risk prediction in patients with malignant neoplasm in São Paulo, Brazil. Artificial Intelligence in the Life Sciences, v. 3, p. art. 100061 [8], 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ailsci.2023.100061. Acesso em: 14 nov. 2024.
APA
Silva, G. F., Duarte, L. S., Shirassu, M. M., Peres, S. V., Moraes, M. A. de, & Chiavegatto Filho, A. D. P. (2023). Machine learning for longitudinal mortality risk prediction in patients with malignant neoplasm in São Paulo, Brazil. Artificial Intelligence in the Life Sciences, 3, art. 100061 [8]. doi:10.1016/j.ailsci.2023.100061
NLM
Silva GF, Duarte LS, Shirassu MM, Peres SV, Moraes MA de, Chiavegatto Filho ADP. Machine learning for longitudinal mortality risk prediction in patients with malignant neoplasm in São Paulo, Brazil [Internet]. Artificial Intelligence in the Life Sciences. 2023 ;3 art. 100061 [8].[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ailsci.2023.100061
Vancouver
Silva GF, Duarte LS, Shirassu MM, Peres SV, Moraes MA de, Chiavegatto Filho ADP. Machine learning for longitudinal mortality risk prediction in patients with malignant neoplasm in São Paulo, Brazil [Internet]. Artificial Intelligence in the Life Sciences. 2023 ;3 art. 100061 [8].[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ailsci.2023.100061

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