ReP USP - Resultado da busca

Artigo de periodico
Towards an automated and auditable industrial safety inspection using robots and blockchain (2025)
Garcia, Rodrigo Dutra ; Henriques, Miguel Bragante; Cid, André Luiz Maciel; Cruz Júnior, Gilmar; Azpúrua, Héctor; Ramachandran, Gowri Sankar ; Saboia, Maíra; Freitas, Gustavo M; Pessin, Gustavo ; Ueyama, Jó
Source: SN Computer Science. Unidade: ICMC
Subjects: EMPRESAS DE MINERAÇÃO, ROBÔS INDUSTRIAIS, GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS, SEGURANÇA EM MINERAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Rodrigo Dutra et al. Towards an automated and auditable industrial safety inspection using robots and blockchain. SN Computer Science, v. 6, p. 1-21, 2025Tradução . . Disponível em: https://doi.org/10.1007/s42979-025-04244-2. Acesso em: 03 nov. 2025.
APA
Garcia, R. D., Henriques, M. B., Cid, A. L. M., Cruz Júnior, G., Azpúrua, H., Ramachandran, G. S., et al. (2025). Towards an automated and auditable industrial safety inspection using robots and blockchain. SN Computer Science, 6, 1-21. doi:10.1007/s42979-025-04244-2
NLM
Garcia RD, Henriques MB, Cid ALM, Cruz Júnior G, Azpúrua H, Ramachandran GS, Saboia M, Freitas GM, Pessin G, Ueyama J. Towards an automated and auditable industrial safety inspection using robots and blockchain [Internet]. SN Computer Science. 2025 ; 6 1-21.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s42979-025-04244-2
Vancouver
Garcia RD, Henriques MB, Cid ALM, Cruz Júnior G, Azpúrua H, Ramachandran GS, Saboia M, Freitas GM, Pessin G, Ueyama J. Towards an automated and auditable industrial safety inspection using robots and blockchain [Internet]. SN Computer Science. 2025 ; 6 1-21.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s42979-025-04244-2
Artigo de periodico
Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning (2025)
Souza, Thais Luiza Donega e ; Ranieri, Caetano Mazzoni ; Panangadan, Anand ; Ueyama, Jó ; Nishijima, Marislei
Source: Multimedia Tools and Applications. Unidades: ICMC, IRI, EACH
Subjects: REDES NEURAIS, CINEMA, CARTAZ, QUALIDADE DO PRODUTO, APRENDIZAGEM PROFUNDA, DESIGN GRÁFICO, PROPAGANDA PELO CINEMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Thais Luiza Donega e et al. Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning. Multimedia Tools and Applications, v. 84, p. 26877–26905, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11042-024-20174-2. Acesso em: 03 nov. 2025.
APA
Souza, T. L. D. e, Ranieri, C. M., Panangadan, A., Ueyama, J., & Nishijima, M. (2025). Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning. Multimedia Tools and Applications, 84, 26877–26905. doi:10.1007/s11042-024-20174-2
NLM
Souza TLD e, Ranieri CM, Panangadan A, Ueyama J, Nishijima M. Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning [Internet]. Multimedia Tools and Applications. 2025 ; 84 26877–26905.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
Vancouver
Souza TLD e, Ranieri CM, Panangadan A, Ueyama J, Nishijima M. Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning [Internet]. Multimedia Tools and Applications. 2025 ; 84 26877–26905.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
Artigo de periodico
A systematic review on wake-up radios applied to wireless sensor networks (2025)
Spohn, Marco Aurélio ; Ranieri, Caetano Mazzoni ; Silva, Agnelo Rocha da; Ueyama, Jó
Source: Journal of Computer Science. Unidade: ICMC
Subjects: INTERNET DAS COISAS, SENSOR, WIRELESS, REVISÃO SISTEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPOHN, Marco Aurélio et al. A systematic review on wake-up radios applied to wireless sensor networks. Journal of Computer Science, v. 21, n. 3, p. 566-583, 2025Tradução . . Disponível em: https://doi.org/10.3844/jcssp.2025.566.583. Acesso em: 03 nov. 2025.
APA
Spohn, M. A., Ranieri, C. M., Silva, A. R. da, & Ueyama, J. (2025). A systematic review on wake-up radios applied to wireless sensor networks. Journal of Computer Science, 21( 3), 566-583. doi:10.3844/jcssp.2025.566.583
NLM
Spohn MA, Ranieri CM, Silva AR da, Ueyama J. A systematic review on wake-up radios applied to wireless sensor networks [Internet]. Journal of Computer Science. 2025 ; 21( 3): 566-583.[citado 2025 nov. 03 ] Available from: https://doi.org/10.3844/jcssp.2025.566.583
Vancouver
Spohn MA, Ranieri CM, Silva AR da, Ueyama J. A systematic review on wake-up radios applied to wireless sensor networks [Internet]. Journal of Computer Science. 2025 ; 21( 3): 566-583.[citado 2025 nov. 03 ] Available from: https://doi.org/10.3844/jcssp.2025.566.583
Artigo de periodico
Inter-organisational collaboration through blockchain governance and smart contracts: a design science research approach (2025)
Miranda, Livia Maria Bettini de ; Garcia, Rodrigo Dutra ; Ramachandran, Gowri Sankar ; Ueyama, Jó ; Guerrini, Fábio Müller
Source: International Journal of Production Research. Unidades: ICMC, EESC
Subjects: GOVERNANÇA, SIMULAÇÃO, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Livia Maria Bettini de et al. Inter-organisational collaboration through blockchain governance and smart contracts: a design science research approach. International Journal of Production Research, 2025Tradução . . Disponível em: https://doi.org/10.1080/00207543.2025.2514727. Acesso em: 03 nov. 2025.
APA
Miranda, L. M. B. de, Garcia, R. D., Ramachandran, G. S., Ueyama, J., & Guerrini, F. M. (2025). Inter-organisational collaboration through blockchain governance and smart contracts: a design science research approach. International Journal of Production Research. doi:10.1080/00207543.2025.2514727
NLM
Miranda LMB de, Garcia RD, Ramachandran GS, Ueyama J, Guerrini FM. Inter-organisational collaboration through blockchain governance and smart contracts: a design science research approach [Internet]. International Journal of Production Research. 2025 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1080/00207543.2025.2514727
Vancouver
Miranda LMB de, Garcia RD, Ramachandran GS, Ueyama J, Guerrini FM. Inter-organisational collaboration through blockchain governance and smart contracts: a design science research approach [Internet]. International Journal of Production Research. 2025 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1080/00207543.2025.2514727
Trabalho de evento
Comparative analysis of smart contract generation using large language models (2025)
Santos, Hiago Vinícius Benedito dos; Januário, Raissa Rosa dos Santos ; Zanatta, Ravelly Carvalho ; Matos, Saulo Neves ; Ueyama, Jó
Source: Anais. Conference titles: Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Unidade: ICMC
Subjects: ESTUDO DE CASO, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Hiago Vinícius Benedito dos et al. Comparative analysis of smart contract generation using large language models. 2025, Anais.. Porto Alegre: SBC, 2025. Disponível em: https://doi.org/10.5753/sbrc.2025.5848. Acesso em: 03 nov. 2025.
APA
Santos, H. V. B. dos, Januário, R. R. dos S., Zanatta, R. C., Matos, S. N., & Ueyama, J. (2025). Comparative analysis of smart contract generation using large language models. In Anais. Porto Alegre: SBC. doi:10.5753/sbrc.2025.5848
NLM
Santos HVB dos, Januário RR dos S, Zanatta RC, Matos SN, Ueyama J. Comparative analysis of smart contract generation using large language models [Internet]. Anais. 2025 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.5753/sbrc.2025.5848
Vancouver
Santos HVB dos, Januário RR dos S, Zanatta RC, Matos SN, Ueyama J. Comparative analysis of smart contract generation using large language models [Internet]. Anais. 2025 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.5753/sbrc.2025.5848
Trabalho de evento
Uncertainty quantification in measuring ore mass flow rate with data-driven soft sensors (2025)
Diniz, Francisco José dos Santos ; Matos, Saulo Neves ; Ueyama, Jó ; Marcolino, Leandro Soriano ; Luz, Eduardo José da Silva; Pessin, Gustavo
Source: Proceedings. Conference titles: IEEE International Instrumentation and Measurement Technology Conference. Unidade: ICMC
Subjects: EMPRESAS DE MINERAÇÃO, INDÚSTRIA 4.0, TOMADA DE DECISÃO, APRENDIZADO COMPUTACIONAL, PREDIÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DINIZ, Francisco José dos Santos et al. Uncertainty quantification in measuring ore mass flow rate with data-driven soft sensors. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/I2MTC62753.2025.11079114. Acesso em: 03 nov. 2025.
APA
Diniz, F. J. dos S., Matos, S. N., Ueyama, J., Marcolino, L. S., Luz, E. J. da S., & Pessin, G. (2025). Uncertainty quantification in measuring ore mass flow rate with data-driven soft sensors. In Proceedings. Piscataway: IEEE. doi:10.1109/I2MTC62753.2025.11079114
NLM
Diniz FJ dos S, Matos SN, Ueyama J, Marcolino LS, Luz EJ da S, Pessin G. Uncertainty quantification in measuring ore mass flow rate with data-driven soft sensors [Internet]. Proceedings. 2025 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/I2MTC62753.2025.11079114
Vancouver
Diniz FJ dos S, Matos SN, Ueyama J, Marcolino LS, Luz EJ da S, Pessin G. Uncertainty quantification in measuring ore mass flow rate with data-driven soft sensors [Internet]. Proceedings. 2025 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/I2MTC62753.2025.11079114
Artigo de periodico
A deep learning workflow enhanced with optical flow fields for flood risk estimation (2024)
Ranieri, Caetano Mazzoni ; Souza, Thais Luiza Donega e ; Nishijima, Marislei ; Krishnamachari, Bhaskar ; Ueyama, Jó
Source: Applied Intelligence. Unidades: ICMC, IRI, EACH
Subjects: ENCHENTES URBANAS, APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RANIERI, Caetano Mazzoni et al. A deep learning workflow enhanced with optical flow fields for flood risk estimation. Applied Intelligence, v. 54, p. 5536-5557, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10489-024-05466-2. Acesso em: 03 nov. 2025.
APA
Ranieri, C. M., Souza, T. L. D. e, Nishijima, M., Krishnamachari, B., & Ueyama, J. (2024). A deep learning workflow enhanced with optical flow fields for flood risk estimation. Applied Intelligence, 54, 5536-5557. doi:10.1007/s10489-024-05466-2
NLM
Ranieri CM, Souza TLD e, Nishijima M, Krishnamachari B, Ueyama J. A deep learning workflow enhanced with optical flow fields for flood risk estimation [Internet]. Applied Intelligence. 2024 ; 54 5536-5557.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s10489-024-05466-2
Vancouver
Ranieri CM, Souza TLD e, Nishijima M, Krishnamachari B, Ueyama J. A deep learning workflow enhanced with optical flow fields for flood risk estimation [Internet]. Applied Intelligence. 2024 ; 54 5536-5557.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s10489-024-05466-2
Artigo de periodico
Water level identification with laser sensors, inertial units, and machine learning (2024)
Ranieri, Caetano Mazzoni ; Foletto, Angelo Victor Kraemer ; Garcia, Rodrigo Dutra ; Matos, Saulo Neves ; Medina, Maria Mercedes Gamboa ; Marcolino, Leandro Soriano ; Ueyama, Jó
Source: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ENCHENTES URBANAS, PREDIÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RANIERI, Caetano Mazzoni et al. Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, v. 127, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2023.107235. Acesso em: 03 nov. 2025.
APA
Ranieri, C. M., Foletto, A. V. K., Garcia, R. D., Matos, S. N., Medina, M. M. G., Marcolino, L. S., & Ueyama, J. (2024). Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, 127, 1-17. doi:10.1016/j.engappai.2023.107235
NLM
Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235
Vancouver
Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235
Trabalho de evento
Machine learning techniques for improving multiclass anomaly detection on conveyor belts (2024)
Matos, Saulo Neves ; Coletti, Otavio Ferracioli ; Zimmer, Rafael; Ugucioni Filho, Fernando; Carvalho, Ricardo C. C. L. de; Silva, Victor Rodrigues da; Franco, Jorge Luiz; Pinto, Thomas Vargas Barsante e ; Barros, Luiz Guilherme Dias de ; Ranieri, Caetano Mazzoni ; Lopes, Bruno Eduardo; Silva, Diego Furtado ; Ueyama, Jó ; Pessin, Gustavo
Source: Proceedings. Conference titles: IEEE International Instrumentation and Measurement Technology Conference - I2MTC. Unidades: ICMC, EESC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, MANUTENÇÃO PREDITIVA, TRANSPORTADORES DE CORREIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATOS, Saulo Neves et al. Machine learning techniques for improving multiclass anomaly detection on conveyor belts. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/I2MTC60896.2024.10561167. Acesso em: 03 nov. 2025.
APA
Matos, S. N., Coletti, O. F., Zimmer, R., Ugucioni Filho, F., Carvalho, R. C. C. L. de, Silva, V. R. da, et al. (2024). Machine learning techniques for improving multiclass anomaly detection on conveyor belts. In Proceedings. Piscataway: IEEE. doi:10.1109/I2MTC60896.2024.10561167
NLM
Matos SN, Coletti OF, Zimmer R, Ugucioni Filho F, Carvalho RCCL de, Silva VR da, Franco JL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Silva DF, Ueyama J, Pessin G. Machine learning techniques for improving multiclass anomaly detection on conveyor belts [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10561167
Vancouver
Matos SN, Coletti OF, Zimmer R, Ugucioni Filho F, Carvalho RCCL de, Silva VR da, Franco JL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Silva DF, Ueyama J, Pessin G. Machine learning techniques for improving multiclass anomaly detection on conveyor belts [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10561167
Trabalho de evento
A blockchain-based reputation system for trust management in collaborative multi-stakeholder settings (2024)
Miranda, Livia Maria Bettini de ; Garcia, Rodrigo Dutra ; Ueyama, Jó ; Ramachandran, Gowri Sankar ; Guerrini, Fábio Müller
Source: Anais. Conference titles: Workshop em Blockchain: Teoria, Tecnologias e Aplicações. Unidades: ICMC, EESC
Subjects: RISCO, NEGÓCIOS, EMPRESAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Livia Maria Bettini de et al. A blockchain-based reputation system for trust management in collaborative multi-stakeholder settings. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/wblockchain.2024.3258. Acesso em: 03 nov. 2025.
APA
Miranda, L. M. B. de, Garcia, R. D., Ueyama, J., Ramachandran, G. S., & Guerrini, F. M. (2024). A blockchain-based reputation system for trust management in collaborative multi-stakeholder settings. In Anais. Porto Alegre: SBC. doi:10.5753/wblockchain.2024.3258
NLM
Miranda LMB de, Garcia RD, Ueyama J, Ramachandran GS, Guerrini FM. A blockchain-based reputation system for trust management in collaborative multi-stakeholder settings [Internet]. Anais. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.5753/wblockchain.2024.3258
Vancouver
Miranda LMB de, Garcia RD, Ueyama J, Ramachandran GS, Guerrini FM. A blockchain-based reputation system for trust management in collaborative multi-stakeholder settings [Internet]. Anais. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.5753/wblockchain.2024.3258
Artigo de periodico
Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision (2024)
Matos, Saulo Neves ; Rocha, Arthur Lima Marques; Domingues Filho, Gabriel Montagni ; Ranieri, Caetano Mazzoni ; Garcia, Rodrigo Dutra ; Faria, Ana Clara de Oliveira; Medina, Maria Mercedes Gamboa ; Ueyama, Jó
Source: Transactions of the Institute of Measurement and Control. Unidades: EESC, ICMC
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, ENCHENTES URBANAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATOS, Saulo Neves et al. Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision. Transactions of the Institute of Measurement and Control, 2024Tradução . . Disponível em: https://doi.org/10.1177/01423312241285952. Acesso em: 03 nov. 2025.
APA
Matos, S. N., Rocha, A. L. M., Domingues Filho, G. M., Ranieri, C. M., Garcia, R. D., Faria, A. C. de O., et al. (2024). Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision. Transactions of the Institute of Measurement and Control. doi:10.1177/01423312241285952
NLM
Matos SN, Rocha ALM, Domingues Filho GM, Ranieri CM, Garcia RD, Faria AC de O, Medina MMG, Ueyama J. Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision [Internet]. Transactions of the Institute of Measurement and Control. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1177/01423312241285952
Vancouver
Matos SN, Rocha ALM, Domingues Filho GM, Ranieri CM, Garcia RD, Faria AC de O, Medina MMG, Ueyama J. Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision [Internet]. Transactions of the Institute of Measurement and Control. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1177/01423312241285952
Trabalho de evento
POSTER: towards an identity authentication layer in CBDC networks using self-sovereign identities (2024)
Almeida, João Pedro Alonso ; Garcia, Rodrigo Dutra ; Ramachandran, Gowri ; Ueyama, Jó
Source: Proceedings. Conference titles: IEEE International Conference on Blockchain and Cryptocurrency - ICBC. Unidade: ICMC
Subjects: DINHEIRO ELETRÔNICO, BANCO CENTRAL, PRIVACIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, João Pedro Alonso et al. POSTER: towards an identity authentication layer in CBDC networks using self-sovereign identities. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/ICBC59979.2024.10634442. Acesso em: 03 nov. 2025.
APA
Almeida, J. P. A., Garcia, R. D., Ramachandran, G., & Ueyama, J. (2024). POSTER: towards an identity authentication layer in CBDC networks using self-sovereign identities. In Proceedings. Piscataway: IEEE. doi:10.1109/ICBC59979.2024.10634442
NLM
Almeida JPA, Garcia RD, Ramachandran G, Ueyama J. POSTER: towards an identity authentication layer in CBDC networks using self-sovereign identities [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/ICBC59979.2024.10634442
Vancouver
Almeida JPA, Garcia RD, Ramachandran G, Ueyama J. POSTER: towards an identity authentication layer in CBDC networks using self-sovereign identities [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/ICBC59979.2024.10634442
Trabalho de evento
Towards a portability scheme for decentralized identifiers in self-sovereign identities (2024)
Almeida, João Pedro Alonso ; Ramachandran, Gowri Sankar ; Ashley, Paul; Jurdak, Raja ; McCown, Steven ; Ueyama, Jó
Source: Proceedings. Conference titles: Annual International Conference on Privacy, Security and Trust - PST. Unidade: ICMC
Subjects: INTEROPERABILIDADE, PRIVACIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, João Pedro Alonso et al. Towards a portability scheme for decentralized identifiers in self-sovereign identities. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/PST62714.2024.10788040. Acesso em: 03 nov. 2025.
APA
Almeida, J. P. A., Ramachandran, G. S., Ashley, P., Jurdak, R., McCown, S., & Ueyama, J. (2024). Towards a portability scheme for decentralized identifiers in self-sovereign identities. In Proceedings. Piscataway: IEEE. doi:10.1109/PST62714.2024.10788040
NLM
Almeida JPA, Ramachandran GS, Ashley P, Jurdak R, McCown S, Ueyama J. Towards a portability scheme for decentralized identifiers in self-sovereign identities [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/PST62714.2024.10788040
Vancouver
Almeida JPA, Ramachandran GS, Ashley P, Jurdak R, McCown S, Ueyama J. Towards a portability scheme for decentralized identifiers in self-sovereign identities [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/PST62714.2024.10788040
Trabalho de evento
Blockchain-based data governance for privacy-preserving in multi-stakeholder settings (2024)
Garcia, Rodrigo Dutra ; Ueyama, Jó
Source: Anais estendidos. Conference titles: Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais - SBSeg. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MODELAGEM DE DADOS, PRIVACIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Rodrigo Dutra e UEYAMA, Jó. Blockchain-based data governance for privacy-preserving in multi-stakeholder settings. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/sbseg_estendido.2024.241368. Acesso em: 03 nov. 2025.
APA
Garcia, R. D., & Ueyama, J. (2024). Blockchain-based data governance for privacy-preserving in multi-stakeholder settings. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/sbseg_estendido.2024.241368
NLM
Garcia RD, Ueyama J. Blockchain-based data governance for privacy-preserving in multi-stakeholder settings [Internet]. Anais estendidos. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.5753/sbseg_estendido.2024.241368
Vancouver
Garcia RD, Ueyama J. Blockchain-based data governance for privacy-preserving in multi-stakeholder settings [Internet]. Anais estendidos. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.5753/sbseg_estendido.2024.241368
Artigo de periodico
Deep Learning and object detection for water level measurement using patterned visual markers (2024)
Domingues Filho, Gabriel Montagni ; Ranieri, Caetano Mazzoni ; Matos, Saulo Neves ; Meneguette, Rodolfo Ipolito ; Ueyama, Jó
Source: IEEE Latin America Transactions. Unidades: ICMC, EESC
Subjects: APRENDIZAGEM PROFUNDA, VISÃO COMPUTACIONAL, ENCHENTES URBANAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DOMINGUES FILHO, Gabriel Montagni et al. Deep Learning and object detection for water level measurement using patterned visual markers. IEEE Latin America Transactions, v. 22, n. 11, p. 892–898, 2024Tradução . . Disponível em: https://latamt.ieeer9.org/index.php/transactions/article/view/9046. Acesso em: 03 nov. 2025.
APA
Domingues Filho, G. M., Ranieri, C. M., Matos, S. N., Meneguette, R. I., & Ueyama, J. (2024). Deep Learning and object detection for water level measurement using patterned visual markers. IEEE Latin America Transactions, 22( 11), 892–898. Recuperado de https://latamt.ieeer9.org/index.php/transactions/article/view/9046
NLM
Domingues Filho GM, Ranieri CM, Matos SN, Meneguette RI, Ueyama J. Deep Learning and object detection for water level measurement using patterned visual markers [Internet]. IEEE Latin America Transactions. 2024 ; 22( 11): 892–898.[citado 2025 nov. 03 ] Available from: https://latamt.ieeer9.org/index.php/transactions/article/view/9046
Vancouver
Domingues Filho GM, Ranieri CM, Matos SN, Meneguette RI, Ueyama J. Deep Learning and object detection for water level measurement using patterned visual markers [Internet]. IEEE Latin America Transactions. 2024 ; 22( 11): 892–898.[citado 2025 nov. 03 ] Available from: https://latamt.ieeer9.org/index.php/transactions/article/view/9046
Artigo de periodico
An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology (2024)
Matos, Saulo Neves ; Pinto, Thomas V. B. e ; Domingues, Jacó Dias ; Ranieri, Caetano Mazzoni ; Albuquerque, Kaike S ; Moreira, Vinicius da Silva ; Souza, Ernandes Sávio ; Ueyama, Jó ; Euzébio, Thiago A. M ; Pessin, Gustavo
Source: IEEE Transactions on Instrumentation and Measurement. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, INDÚSTRIA MINERAL, ESTATÍSTICA, MINERAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATOS, Saulo Neves et al. An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology. IEEE Transactions on Instrumentation and Measurement, v. 73, p. 1-11, 2024Tradução . . Disponível em: https://doi.org/10.1109/TIM.2023.3342220. Acesso em: 03 nov. 2025.
APA
Matos, S. N., Pinto, T. V. B. e, Domingues, J. D., Ranieri, C. M., Albuquerque, K. S., Moreira, V. da S., et al. (2024). An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology. IEEE Transactions on Instrumentation and Measurement, 73, 1-11. doi:10.1109/TIM.2023.3342220
NLM
Matos SN, Pinto TVB e, Domingues JD, Ranieri CM, Albuquerque KS, Moreira V da S, Souza ES, Ueyama J, Euzébio TAM, Pessin G. An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology [Internet]. IEEE Transactions on Instrumentation and Measurement. 2024 ; 73 1-11.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/TIM.2023.3342220
Vancouver
Matos SN, Pinto TVB e, Domingues JD, Ranieri CM, Albuquerque KS, Moreira V da S, Souza ES, Ueyama J, Euzébio TAM, Pessin G. An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology [Internet]. IEEE Transactions on Instrumentation and Measurement. 2024 ; 73 1-11.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/TIM.2023.3342220
Artigo de periodico
Performance analysis of a vehicular ad hoc network using LoRa technology and IoT devices in Amazon rivers (2024)
Santos, Lucélia Cunha da Rocha ; Bruschi, Sarita Mazzini ; Souza, Paulo Sérgio Lopes de ; Ueyama, Jó ; Santos, Alyson de Jesus dos ; Barbosa, Jezreel Souto
Source: Ad Hoc Networks. Unidade: ICMC
Subjects: COMUNICAÇÃO, INTERNET DAS COISAS, REDES AD HOC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Lucélia Cunha da Rocha et al. Performance analysis of a vehicular ad hoc network using LoRa technology and IoT devices in Amazon rivers. Ad Hoc Networks, v. 152, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.adhoc.2023.103301. Acesso em: 03 nov. 2025.
APA
Santos, L. C. da R., Bruschi, S. M., Souza, P. S. L. de, Ueyama, J., Santos, A. de J. dos, & Barbosa, J. S. (2024). Performance analysis of a vehicular ad hoc network using LoRa technology and IoT devices in Amazon rivers. Ad Hoc Networks, 152, 1-12. doi:10.1016/j.adhoc.2023.103301
NLM
Santos LC da R, Bruschi SM, Souza PSL de, Ueyama J, Santos A de J dos, Barbosa JS. Performance analysis of a vehicular ad hoc network using LoRa technology and IoT devices in Amazon rivers [Internet]. Ad Hoc Networks. 2024 ; 152 1-12.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.adhoc.2023.103301
Vancouver
Santos LC da R, Bruschi SM, Souza PSL de, Ueyama J, Santos A de J dos, Barbosa JS. Performance analysis of a vehicular ad hoc network using LoRa technology and IoT devices in Amazon rivers [Internet]. Ad Hoc Networks. 2024 ; 152 1-12.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.adhoc.2023.103301
Artigo de periodico
Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making (2024)
Miranda, Livia Maria Bettini de; Garcia, Rodrigo Dutra ; Ramachandran, Gowri Sankar; Ueyama, Jó ; Guerrini, Fábio Müller
Source: Journal of Information Security and Applications. Unidades: EESC, ICMC
Subjects: CRIPTOLOGIA, TOMADA DE DECISÃO, VOTO ELETRÔNICO, PRIVACIDADE, ENGENHARIA DE PRODUÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Livia Maria Bettini de et al. Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making. Journal of Information Security and Applications, v. 85, p. 1-13, 2024Tradução . . Disponível em: https://dx.doi.org/10.1016/j.jisa.2024.103837. Acesso em: 03 nov. 2025.
APA
Miranda, L. M. B. de, Garcia, R. D., Ramachandran, G. S., Ueyama, J., & Guerrini, F. M. (2024). Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making. Journal of Information Security and Applications, 85, 1-13. doi:10.1016/j.jisa.2024.103837
NLM
Miranda LMB de, Garcia RD, Ramachandran GS, Ueyama J, Guerrini FM. Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making [Internet]. Journal of Information Security and Applications. 2024 ; 85 1-13.[citado 2025 nov. 03 ] Available from: https://dx.doi.org/10.1016/j.jisa.2024.103837
Vancouver
Miranda LMB de, Garcia RD, Ramachandran GS, Ueyama J, Guerrini FM. Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making [Internet]. Journal of Information Security and Applications. 2024 ; 85 1-13.[citado 2025 nov. 03 ] Available from: https://dx.doi.org/10.1016/j.jisa.2024.103837
Artigo de periodico
Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making (2024)
Miranda, Livia Maria Bettini de ; Garcia, Rodrigo Dutra ; Ramachandran, Gowri Sankar ; Ueyama, Jó ; Guerrini, Fábio Müller
Source: Journal of Information Security and Applications. Unidades: ICMC, EESC
Subjects: BANCO DE DADOS, VOTAÇÃO, CRIPTOLOGIA, PRIVACIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Livia Maria Bettini de et al. Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making. Journal of Information Security and Applications, v. 85, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jisa.2024.103837. Acesso em: 03 nov. 2025.
APA
Miranda, L. M. B. de, Garcia, R. D., Ramachandran, G. S., Ueyama, J., & Guerrini, F. M. (2024). Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making. Journal of Information Security and Applications, 85, 1-13. doi:10.1016/j.jisa.2024.103837
NLM
Miranda LMB de, Garcia RD, Ramachandran GS, Ueyama J, Guerrini FM. Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making [Internet]. Journal of Information Security and Applications. 2024 ; 85 1-13.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.jisa.2024.103837
Vancouver
Miranda LMB de, Garcia RD, Ramachandran GS, Ueyama J, Guerrini FM. Blockchain in inter-organizational collaboration: a privacy-preserving voting system for collective decision-making [Internet]. Journal of Information Security and Applications. 2024 ; 85 1-13.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.jisa.2024.103837
Artigo de periodico
An automated decision-making system employing complex networks and blockchain for the decentralized stock market (2024)
Garcia, Rodrigo Dutra ; Ferreira, Junio Cesar ; Zanotti, Lucas; Ramachandran, Gowri ; Estrella, Júlio Cezar ; Ueyama, Jó
Source: Expert Systems With Applications. Unidade: ICMC
Subjects: MERCADO FINANCEIRO, REDES COMPLEXAS, AÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Rodrigo Dutra et al. An automated decision-making system employing complex networks and blockchain for the decentralized stock market. Expert Systems With Applications, v. 257, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2024.125131. Acesso em: 03 nov. 2025.
APA
Garcia, R. D., Ferreira, J. C., Zanotti, L., Ramachandran, G., Estrella, J. C., & Ueyama, J. (2024). An automated decision-making system employing complex networks and blockchain for the decentralized stock market. Expert Systems With Applications, 257, 1-12. doi:10.1016/j.eswa.2024.125131
NLM
Garcia RD, Ferreira JC, Zanotti L, Ramachandran G, Estrella JC, Ueyama J. An automated decision-making system employing complex networks and blockchain for the decentralized stock market [Internet]. Expert Systems With Applications. 2024 ; 257 1-12.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2024.125131
Vancouver
Garcia RD, Ferreira JC, Zanotti L, Ramachandran G, Estrella JC, Ueyama J. An automated decision-making system employing complex networks and blockchain for the decentralized stock market [Internet]. Expert Systems With Applications. 2024 ; 257 1-12.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2024.125131

USP Schools

ReP

Filtros

Document Types

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Conference titles

Countries/Territories

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration