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Artigo de periodico
Secure safety inspection in the mining industry: a blockchain-based multi-robot approach (2026)
Garcia, Rodrigo Dutra ; Henriques, Miguel Bragante; Matos, Saulo Neves ; Ranieri, Caetano Mazzoni ; Cid, André Luiz Maciel; Ramachandran, Gowri Sankar ; Pessin, Gustavo ; Ueyama, Jó
Source: Peer-to-Peer Networking and Applications. Unidade: ICMC
Subjects: INTERNET DAS COISAS, ANÁLISE DE DADOS, SIMULAÇÃO, ROBÔS
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ABNT
GARCIA, Rodrigo Dutra et al. Secure safety inspection in the mining industry: a blockchain-based multi-robot approach. Peer-to-Peer Networking and Applications, v. 19, p. 1-20, 2026Tradução . . Disponível em: https://doi.org/10.1007/s12083-026-02224-8. Acesso em: 25 abr. 2026.
APA
Garcia, R. D., Henriques, M. B., Matos, S. N., Ranieri, C. M., Cid, A. L. M., Ramachandran, G. S., et al. (2026). Secure safety inspection in the mining industry: a blockchain-based multi-robot approach. Peer-to-Peer Networking and Applications, 19, 1-20. doi:10.1007/s12083-026-02224-8
NLM
Garcia RD, Henriques MB, Matos SN, Ranieri CM, Cid ALM, Ramachandran GS, Pessin G, Ueyama J. Secure safety inspection in the mining industry: a blockchain-based multi-robot approach [Internet]. Peer-to-Peer Networking and Applications. 2026 ; 19 1-20.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1007/s12083-026-02224-8
Vancouver
Garcia RD, Henriques MB, Matos SN, Ranieri CM, Cid ALM, Ramachandran GS, Pessin G, Ueyama J. Secure safety inspection in the mining industry: a blockchain-based multi-robot approach [Internet]. Peer-to-Peer Networking and Applications. 2026 ; 19 1-20.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1007/s12083-026-02224-8
Artigo de periodico
Ensuring reliable water level measurement for flooding: a redundancy-based approach with pressure transducer and computer vision (2026)
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, IFSC
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, ENCHENTES URBANAS
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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, v. 48, n. 6, p. 1180-1191, 2026Tradução . . Disponível em: https://doi.org/10.1177/01423312241285952. Acesso em: 25 abr. 2026.
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. (2026). 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, 48( 6), 1180-1191. 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. 2026 ; 48( 6): 1180-1191.[citado 2026 abr. 25 ] 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. 2026 ; 48( 6): 1180-1191.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1177/01423312241285952
Artigo de periodico
Tokenized peer review: an adaptive blockchain mechanism for open source supply chains (2026)
Martins, Igor Cardozo ; Ranieri, Caetano Mazzoni ; Garcia, Rodrigo Dutra ; Miranda, Livia Maria Bettini de ; Maeda, Lucas Masaki; Almeida, João Pedro Alonso ; Ramachandran, Gowri Sankar ; Ueyama, Jó
Source: Journal of Network and Systems Management. Unidade: ICMC
Subjects: SOFTWARES, QUALIDADE DE PROCESSO DE SOFTWARE, ARQUITETURA DE SOFTWARE
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ABNT
MARTINS, Igor Cardozo et al. Tokenized peer review: an adaptive blockchain mechanism for open source supply chains. Journal of Network and Systems Management, v. 34, p. 1-34, 2026Tradução . . Disponível em: https://doi.org/10.1007/s10922-025-10004-7. Acesso em: 25 abr. 2026.
APA
Martins, I. C., Ranieri, C. M., Garcia, R. D., Miranda, L. M. B. de, Maeda, L. M., Almeida, J. P. A., et al. (2026). Tokenized peer review: an adaptive blockchain mechanism for open source supply chains. Journal of Network and Systems Management, 34, 1-34. doi:10.1007/s10922-025-10004-7
NLM
Martins IC, Ranieri CM, Garcia RD, Miranda LMB de, Maeda LM, Almeida JPA, Ramachandran GS, Ueyama J. Tokenized peer review: an adaptive blockchain mechanism for open source supply chains [Internet]. Journal of Network and Systems Management. 2026 ; 34 1-34.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1007/s10922-025-10004-7
Vancouver
Martins IC, Ranieri CM, Garcia RD, Miranda LMB de, Maeda LM, Almeida JPA, Ramachandran GS, Ueyama J. Tokenized peer review: an adaptive blockchain mechanism for open source supply chains [Internet]. Journal of Network and Systems Management. 2026 ; 34 1-34.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1007/s10922-025-10004-7
Trabalho de evento-anais periodico
Segmentation-augmented flood risk classification for nighttime river monitoring (2026)
Rocha, Arthur Lima Marques ; Perino, João Augusto Costa ; Vanzin, Vinícius João de Barros ; Teodoro, Pedro ; Matos, Saulo Neves ; Moreira, Dilvan de Abreu ; Ranieri, Caetano Mazzoni ; Ueyama, Jó
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: ICMC, EESC, EESC E ICMC
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, APRENDIZAGEM PROFUNDA, ENCHENTES URBANAS
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ABNT
ROCHA, Arthur Lima Marques et al. Segmentation-augmented flood risk classification for nighttime river monitoring. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15993-9_32. Acesso em: 25 abr. 2026. , 2026
APA
Rocha, A. L. M., Perino, J. A. C., Vanzin, V. J. de B., Teodoro, P., Matos, S. N., Moreira, D. de A., et al. (2026). Segmentation-augmented flood risk classification for nighttime river monitoring. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15993-9_32
NLM
Rocha ALM, Perino JAC, Vanzin VJ de B, Teodoro P, Matos SN, Moreira D de A, Ranieri CM, Ueyama J. Segmentation-augmented flood risk classification for nighttime river monitoring [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16182 470-484.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1007/978-3-032-15993-9_32
Vancouver
Rocha ALM, Perino JAC, Vanzin VJ de B, Teodoro P, Matos SN, Moreira D de A, Ranieri CM, Ueyama J. Segmentation-augmented flood risk classification for nighttime river monitoring [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16182 470-484.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1007/978-3-032-15993-9_32
Artigo de periodico
A survey of privacy-preserving mechanisms on quality of experience in next-generation networks (2026)
Garcia, Rodrigo Dutra ; Ramachandran, Gowri Sankar ; Rothenberg, Christian Esteve ; Krishnamachari, Bhaskar ; Ueyama, Jó
Source: Computer Networks. Unidade: ICMC
Subjects: PRIVACIDADE, REDES E COMUNICAÇÃO DE DADOS, SEGURANÇA DE REDES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Rodrigo Dutra et al. A survey of privacy-preserving mechanisms on quality of experience in next-generation networks. Computer Networks, v. 275, p. 1-24, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.comnet.2025.111899. Acesso em: 25 abr. 2026.
APA
Garcia, R. D., Ramachandran, G. S., Rothenberg, C. E., Krishnamachari, B., & Ueyama, J. (2026). A survey of privacy-preserving mechanisms on quality of experience in next-generation networks. Computer Networks, 275, 1-24. doi:10.1016/j.comnet.2025.111899
NLM
Garcia RD, Ramachandran GS, Rothenberg CE, Krishnamachari B, Ueyama J. A survey of privacy-preserving mechanisms on quality of experience in next-generation networks [Internet]. Computer Networks. 2026 ; 275 1-24.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.comnet.2025.111899
Vancouver
Garcia RD, Ramachandran GS, Rothenberg CE, Krishnamachari B, Ueyama J. A survey of privacy-preserving mechanisms on quality of experience in next-generation networks [Internet]. Computer Networks. 2026 ; 275 1-24.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.comnet.2025.111899
Artigo de periodico
Data-driven soft sensor development for ore type estimation in mineral crushing processes (2026)
Matos, Saulo Neves ; Pinto, Thomas Vargas Barsante e ; Duarte, Robson; Albuquerque, Kaike S ; Fonseca, Alexandre G; Ranieri, Caetano Mazzoni ; Marcolino, Leandro Soriano ; Pessin, Gustavo ; Ueyama, Jó
Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC
Subjects: PETROLOGIA, BRITAGEM, MINERAÇÃO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATOS, Saulo Neves et al. Data-driven soft sensor development for ore type estimation in mineral crushing processes. Engineering Applications of Artificial Intelligence, v. 167, p. 1-14, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2026.113755. Acesso em: 25 abr. 2026.
APA
Matos, S. N., Pinto, T. V. B. e, Duarte, R., Albuquerque, K. S., Fonseca, A. G., Ranieri, C. M., et al. (2026). Data-driven soft sensor development for ore type estimation in mineral crushing processes. Engineering Applications of Artificial Intelligence, 167, 1-14. doi:10.1016/j.engappai.2026.113755
NLM
Matos SN, Pinto TVB e, Duarte R, Albuquerque KS, Fonseca AG, Ranieri CM, Marcolino LS, Pessin G, Ueyama J. Data-driven soft sensor development for ore type estimation in mineral crushing processes [Internet]. Engineering Applications of Artificial Intelligence. 2026 ; 167 1-14.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.engappai.2026.113755
Vancouver
Matos SN, Pinto TVB e, Duarte R, Albuquerque KS, Fonseca AG, Ranieri CM, Marcolino LS, Pessin G, Ueyama J. Data-driven soft sensor development for ore type estimation in mineral crushing processes [Internet]. Engineering Applications of Artificial Intelligence. 2026 ; 167 1-14.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.engappai.2026.113755
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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
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
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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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.5753/sbrc.2025.5848
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, v. 63, n. 19, p. 7318-7338, 2025Tradução . . Disponível em: https://doi.org/10.1080/00207543.2025.2514727. Acesso em: 25 abr. 2026.
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, 63( 19), 7318-7338. 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 ; 63( 19): 7318-7338.[citado 2026 abr. 25 ] 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 ; 63( 19): 7318-7338.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1080/00207543.2025.2514727
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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.3844/jcssp.2025.566.583
Trabalho de evento
Low-cost flood monitoring system using ESP32-CAM with edge image processing for data reduction (2025)
Oliveira, Gabriel Passos de; Coletti, Otavio Ferracioli ; Pereira, Leonardo Tortoro ; Ueyama, Jó ; Ranieri, Caetano Mazzoni
Source: Proceedings. Conference titles: International Workshop on Secure Internet of Things - SIoT. Unidade: ICMC
Subjects: ENCHENTES URBANAS, MONITORAMENTO, INTERNET DAS COISAS, PROCESSAMENTO DE IMAGENS, CIDADES INTELIGENTES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Gabriel Passos de et al. Low-cost flood monitoring system using ESP32-CAM with edge image processing for data reduction. 2025, Anais.. Piacataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/SIoT68426.2025.11368811. Acesso em: 25 abr. 2026.
APA
Oliveira, G. P. de, Coletti, O. F., Pereira, L. T., Ueyama, J., & Ranieri, C. M. (2025). Low-cost flood monitoring system using ESP32-CAM with edge image processing for data reduction. In Proceedings. Piacataway: IEEE. doi:10.1109/SIoT68426.2025.11368811
NLM
Oliveira GP de, Coletti OF, Pereira LT, Ueyama J, Ranieri CM. Low-cost flood monitoring system using ESP32-CAM with edge image processing for data reduction [Internet]. Proceedings. 2025 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.1109/SIoT68426.2025.11368811
Vancouver
Oliveira GP de, Coletti OF, Pereira LT, Ueyama J, Ranieri CM. Low-cost flood monitoring system using ESP32-CAM with edge image processing for data reduction [Internet]. Proceedings. 2025 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.1109/SIoT68426.2025.11368811
Trabalho de evento
Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node (2025)
Oliveira, Samuel R; Silva, Agnelo Rocha da; Spohn, Marco Aurélio ; Nascimento, Pedro T. do; Matos, Saulo Neves ; Ueyama, Jó
Source: Proceedings. Conference titles: International Workshop on Secure Internet of Things - SIoT. Unidades: ICMC, EESC E ICMC
Subjects: DESLIZAMENTO DE TERRA, MONITORAMENTO, INTERNET DAS COISAS, DESASTRES AMBIENTAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Samuel R et al. Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node. 2025, Anais.. Piacataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/SIoT68426.2025.11368798. Acesso em: 25 abr. 2026.
APA
Oliveira, S. R., Silva, A. R. da, Spohn, M. A., Nascimento, P. T. do, Matos, S. N., & Ueyama, J. (2025). Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node. In Proceedings. Piacataway: IEEE. doi:10.1109/SIoT68426.2025.11368798
NLM
Oliveira SR, Silva AR da, Spohn MA, Nascimento PT do, Matos SN, Ueyama J. Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node [Internet]. Proceedings. 2025 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.1109/SIoT68426.2025.11368798
Vancouver
Oliveira SR, Silva AR da, Spohn MA, Nascimento PT do, Matos SN, Ueyama J. Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node [Internet]. Proceedings. 2025 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.1109/SIoT68426.2025.11368798
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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.1109/I2MTC62753.2025.11079114
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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.1007/s42979-025-04244-2
Trabalho de evento
Incremental learning approaches for flood detection in dynamic river environments (2025)
Coletti, Otavio Ferracioli ; Neves, Saulo Matos; Ranieri, Caetano Mazzoni ; Ramachandran, Gowri Sankar ; Jurdak, Raja ; Ueyama, Jó
Source: Anais. Conference titles: Conferência Brasileira em Sistemas Inteligentes - BRACIS. Unidade: ICMC
Subjects: ENCHENTES URBANAS, MONITORAMENTO, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLETTI, Otavio Ferracioli et al. Incremental learning approaches for flood detection in dynamic river environments. 2025, Anais.. Porto alegre: SBC, 2025. Disponível em: https://doi.org/10.5753/eniac.2025.12389. Acesso em: 25 abr. 2026.
APA
Coletti, O. F., Neves, S. M., Ranieri, C. M., Ramachandran, G. S., Jurdak, R., & Ueyama, J. (2025). Incremental learning approaches for flood detection in dynamic river environments. In Anais. Porto alegre: SBC. doi:10.5753/eniac.2025.12389
NLM
Coletti OF, Neves SM, Ranieri CM, Ramachandran GS, Jurdak R, Ueyama J. Incremental learning approaches for flood detection in dynamic river environments [Internet]. Anais. 2025 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.5753/eniac.2025.12389
Vancouver
Coletti OF, Neves SM, Ranieri CM, Ramachandran GS, Jurdak R, Ueyama J. Incremental learning approaches for flood detection in dynamic river environments [Internet]. Anais. 2025 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.5753/eniac.2025.12389
Artigo de periodico
Towards a decentralized and privacy-preserving quality of experience system for 6G networks (2025)
Garcia, Rodrigo Dutra ; Ramachandran, Gowri ; Rothenberg, Christian Esteve ; Batista, Daniel Macêdo ; Ueyama, Jó
Source: Distributed Ledger Technologies: Research and Practice. Unidades: IME, ICMC
Assunto: CRIPTOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Rodrigo Dutra et al. Towards a decentralized and privacy-preserving quality of experience system for 6G networks. Distributed Ledger Technologies: Research and Practice, 2025Tradução . . Disponível em: https://doi.org/10.1145/3772072. Acesso em: 25 abr. 2026.
APA
Garcia, R. D., Ramachandran, G., Rothenberg, C. E., Batista, D. M., & Ueyama, J. (2025). Towards a decentralized and privacy-preserving quality of experience system for 6G networks. Distributed Ledger Technologies: Research and Practice. doi:10.1145/3772072
NLM
Garcia RD, Ramachandran G, Rothenberg CE, Batista DM, Ueyama J. Towards a decentralized and privacy-preserving quality of experience system for 6G networks [Internet]. Distributed Ledger Technologies: Research and Practice. 2025 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.1145/3772072
Vancouver
Garcia RD, Ramachandran G, Rothenberg CE, Batista DM, Ueyama J. Towards a decentralized and privacy-preserving quality of experience system for 6G networks [Internet]. Distributed Ledger Technologies: Research and Practice. 2025 ;[citado 2026 abr. 25 ] Available from: https://doi.org/10.1145/3772072
Trabalho de evento-anais periodico
Improving soft sensor reliability in the mining industry using incremental learning (2025)
Mota, Rafael P; Matos, Saulo Neves ; Ueyama, Jó ; Pinto, Thomas Vargas Barsante e ; Braga, Marcio F
Source: IFAC PapersOnLine. Conference titles: IFAC Conference on Fractional Differentiation and its Applications - ICFDA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REGRESSÃO LINEAR, MINERAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTA, Rafael P et al. Improving soft sensor reliability in the mining industry using incremental learning. IFAC PapersOnLine. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.ifacol.2025.12.410. Acesso em: 25 abr. 2026. , 2025
APA
Mota, R. P., Matos, S. N., Ueyama, J., Pinto, T. V. B. e, & Braga, M. F. (2025). Improving soft sensor reliability in the mining industry using incremental learning. IFAC PapersOnLine. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.ifacol.2025.12.410
NLM
Mota RP, Matos SN, Ueyama J, Pinto TVB e, Braga MF. Improving soft sensor reliability in the mining industry using incremental learning [Internet]. IFAC PapersOnLine. 2025 ; 59 138-143.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.ifacol.2025.12.410
Vancouver
Mota RP, Matos SN, Ueyama J, Pinto TVB e, Braga MF. Improving soft sensor reliability in the mining industry using incremental learning [Internet]. IFAC PapersOnLine. 2025 ; 59 138-143.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.ifacol.2025.12.410
Trabalho de evento-anais periodico
Enhancing operational safety with conformal prediction in soft sensors (2025)
Diniz, Francisco José dos Santos ; Pinto, Thomas Vargas Barsante e ; Matos, Saulo Neves ; Luz, Eduardo; Pessin, Gustavo ; Ueyama, Jó
Source: IFAC PapersOnLine. Conference titles: IFAC Conference on Fractional Differentiation and its Applications - ICFDA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TOMADA DE DECISÃO, REGRESSÃO LINEAR, MINERAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DINIZ, Francisco José dos Santos et al. Enhancing operational safety with conformal prediction in soft sensors. IFAC PapersOnLine. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.ifacol.2025.12.401. Acesso em: 25 abr. 2026. , 2025
APA
Diniz, F. J. dos S., Pinto, T. V. B. e, Matos, S. N., Luz, E., Pessin, G., & Ueyama, J. (2025). Enhancing operational safety with conformal prediction in soft sensors. IFAC PapersOnLine. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.ifacol.2025.12.401
NLM
Diniz FJ dos S, Pinto TVB e, Matos SN, Luz E, Pessin G, Ueyama J. Enhancing operational safety with conformal prediction in soft sensors [Internet]. IFAC PapersOnLine. 2025 ; 59 84-89.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.ifacol.2025.12.401
Vancouver
Diniz FJ dos S, Pinto TVB e, Matos SN, Luz E, Pessin G, Ueyama J. Enhancing operational safety with conformal prediction in soft sensors [Internet]. IFAC PapersOnLine. 2025 ; 59 84-89.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.ifacol.2025.12.401
Artigo de periodico
Development of a bench system with capacitive sensor, sample compression, and TinyML for iron ore moisture measurement (2025)
Pinto, Érica S; Matos, Saulo Neves ; Neiva, Matheus ; Santos, Gabriel A; Marcolino, Leandro Soriano ; Ueyama, Jó ; Euzébio, Thiago A. M ; Pessin, Gustavo ; Pritzelwitz, Philip Von ; Segundo, Alan Kardek Rêgo
Source: Scientific Reports. Unidade: ICMC
Subjects: MINERAÇÃO, APRENDIZADO COMPUTACIONAL, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO, Érica S et al. Development of a bench system with capacitive sensor, sample compression, and TinyML for iron ore moisture measurement. Scientific Reports, v. 15, p. 1-14, 2025Tradução . . Disponível em: https://doi.org/10.1038/s41598-025-26782-8. Acesso em: 25 abr. 2026.
APA
Pinto, É. S., Matos, S. N., Neiva, M., Santos, G. A., Marcolino, L. S., Ueyama, J., et al. (2025). Development of a bench system with capacitive sensor, sample compression, and TinyML for iron ore moisture measurement. Scientific Reports, 15, 1-14. doi:10.1038/s41598-025-26782-8
NLM
Pinto ÉS, Matos SN, Neiva M, Santos GA, Marcolino LS, Ueyama J, Euzébio TAM, Pessin G, Pritzelwitz PV, Segundo AKR. Development of a bench system with capacitive sensor, sample compression, and TinyML for iron ore moisture measurement [Internet]. Scientific Reports. 2025 ; 15 1-14.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1038/s41598-025-26782-8
Vancouver
Pinto ÉS, Matos SN, Neiva M, Santos GA, Marcolino LS, Ueyama J, Euzébio TAM, Pessin G, Pritzelwitz PV, Segundo AKR. Development of a bench system with capacitive sensor, sample compression, and TinyML for iron ore moisture measurement [Internet]. Scientific Reports. 2025 ; 15 1-14.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1038/s41598-025-26782-8
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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.1007/s10489-024-05466-2

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