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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
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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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.3844/jcssp.2025.566.583
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
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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: 18 maio 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 maio 18 ] 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 maio 18 ] 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
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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: 18 maio 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 maio 18 ] 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 maio 18 ] 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
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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: 18 maio 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 maio 18 ] 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 maio 18 ] 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
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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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.5753/wblockchain.2024.3258
Artigo de periodico
Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning (2024)
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
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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, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-024-20174-2. Acesso em: 18 maio 2025.
APA
Souza, T. L. D. e, Ranieri, C. M., Panangadan, A., Ueyama, J., & Nishijima, M. (2024). Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning. Multimedia Tools and Applications. 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. 2024 ;[citado 2025 maio 18 ] 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. 2024 ;[citado 2025 maio 18 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.1177/01423312241285952
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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://latamt.ieeer9.org/index.php/transactions/article/view/9046
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
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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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.1109/ICBC59979.2024.10634442
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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.5753/sbseg_estendido.2024.241368
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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.1109/PST62714.2024.10788040
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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.1016/j.adhoc.2023.103301
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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.1109/TIM.2023.3342220
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
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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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.1016/j.eswa.2024.125131
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: 18 maio 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 maio 18 ] 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 maio 18 ] 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: 18 maio 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 maio 18 ] 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 maio 18 ] Available from: https://doi.org/10.1016/j.jisa.2024.103837
Trabalho de evento
On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork (2023)
Alves, Matheus Aparecido do Carmo ; Yourdshahi, Elnaz Shafpour; Varma, Amokh ; Marcolino, Leandro Soriano ; Ueyama, Jó ; Angelov, Plamen
Source: Proceedings. Conference titles: International Conference on Autonomous Agents and Multiagent Systems - AAMAS. Unidade: ICMC
Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Matheus Aparecido do Carmo et al. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. 2023, Anais.. New York: ACM, 2023. Disponível em: https://dl.acm.org/doi/10.5555/3545946.3598629. Acesso em: 18 maio 2025.
APA
Alves, M. A. do C., Yourdshahi, E. S., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2023). On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. In Proceedings. New York: ACM. doi:10.5555/3545946.3598629
NLM
Alves MA do C, Yourdshahi ES, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Proceedings. 2023 ;[citado 2025 maio 18 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629
Vancouver
Alves MA do C, Yourdshahi ES, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Proceedings. 2023 ;[citado 2025 maio 18 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629
Artigo de periodico
MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems (2023)
Silva, Alef Vinicius Cardoso e; Giuntini, Felipe Taliar ; Ranieri, Caetano Mazzoni ; Meneguette, Rodolfo Ipolito ; Garcia, Rodrigo Dutra ; Ramachandran, Gowri Sankar ; Krishnamachari, Bhaskar ; Ueyama, Jó
Source: Journal of Network and Systems Management. Unidade: ICMC
Subjects: MIDDLEWARE, REGISTROS MÉDICOS, SEGURANÇA DE REDES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Alef Vinicius Cardoso e et al. MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems. Journal of Network and Systems Management, v. 31, p. 1-29, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10922-023-09736-1. Acesso em: 18 maio 2025.
APA
Silva, A. V. C. e, Giuntini, F. T., Ranieri, C. M., Meneguette, R. I., Garcia, R. D., Ramachandran, G. S., et al. (2023). MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems. Journal of Network and Systems Management, 31, 1-29. doi:10.1007/s10922-023-09736-1
NLM
Silva AVC e, Giuntini FT, Ranieri CM, Meneguette RI, Garcia RD, Ramachandran GS, Krishnamachari B, Ueyama J. MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems [Internet]. Journal of Network and Systems Management. 2023 ; 31 1-29.[citado 2025 maio 18 ] Available from: https://doi.org/10.1007/s10922-023-09736-1
Vancouver
Silva AVC e, Giuntini FT, Ranieri CM, Meneguette RI, Garcia RD, Ramachandran GS, Krishnamachari B, Ueyama J. MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems [Internet]. Journal of Network and Systems Management. 2023 ; 31 1-29.[citado 2025 maio 18 ] Available from: https://doi.org/10.1007/s10922-023-09736-1
Artigo de periodico
Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey (2023)
Mosaiyebzadeh, Fatemeh ; Pouriyeh, Seyedamin ; Parizi, Reza M ; Sheng, Quan Z ; Han, Meng ; Zhao, Liang ; Sannino, Giovanna ; Ranieri, Caetano Mazzoni ; Ueyama, Jó ; Batista, Daniel Macêdo
Source: Electronics. Unidades: ICMC, IME
Subjects: INTERNET DAS COISAS, TECNOLOGIAS DA SAÚDE, PRIVACIDADE, APRENDIZAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOSAIYEBZADEH, Fatemeh et al. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, v. 12, n. 12, p. 1-28, 2023Tradução . . Disponível em: https://doi.org/10.3390/electronics12122703. Acesso em: 18 maio 2025.
APA
Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R. M., Sheng, Q. Z., Han, M., Zhao, L., et al. (2023). Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, 12( 12), 1-28. doi:10.3390/electronics12122703
NLM
Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2025 maio 18 ] Available from: https://doi.org/10.3390/electronics12122703
Vancouver
Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2025 maio 18 ] Available from: https://doi.org/10.3390/electronics12122703
Artigo de periodico
A module-based framework to emotion recognition by speech: a case study in clinical simulation (2023)
Sawada, Luana Okino; Mano, Leandro Yukio; Torres Neto, José Rodrigues; Ueyama, Jó
Source: Journal of Ambient Intelligence and Humanized Computing. Unidade: ICMC
Subjects: INTERAÇÃO USUÁRIO-COMPUTADOR, ESTADOS EMOCIONAIS, ANÁLISE DO COMPORTAMENTO, SAÚDE, COMPUTAÇÃO APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SAWADA, Luana Okino et al. A module-based framework to emotion recognition by speech: a case study in clinical simulation. Journal of Ambient Intelligence and Humanized Computing, v. 14, p. 15513-15522, 2023Tradução . . Disponível em: https://doi.org/10.1007/s12652-019-01280-8. Acesso em: 18 maio 2025.
APA
Sawada, L. O., Mano, L. Y., Torres Neto, J. R., & Ueyama, J. (2023). A module-based framework to emotion recognition by speech: a case study in clinical simulation. Journal of Ambient Intelligence and Humanized Computing, 14, 15513-15522. doi:10.1007/s12652-019-01280-8
NLM
Sawada LO, Mano LY, Torres Neto JR, Ueyama J. A module-based framework to emotion recognition by speech: a case study in clinical simulation [Internet]. Journal of Ambient Intelligence and Humanized Computing. 2023 ; 14 15513-15522.[citado 2025 maio 18 ] Available from: https://doi.org/10.1007/s12652-019-01280-8
Vancouver
Sawada LO, Mano LY, Torres Neto JR, Ueyama J. A module-based framework to emotion recognition by speech: a case study in clinical simulation [Internet]. Journal of Ambient Intelligence and Humanized Computing. 2023 ; 14 15513-15522.[citado 2025 maio 18 ] Available from: https://doi.org/10.1007/s12652-019-01280-8

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