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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
Fonte: Applied Intelligence. Unidades: ICMC, IRI, EACH
Assuntos: 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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] Available from: https://doi.org/10.1007/s10489-024-05466-2
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
Fonte: Proceedings. Nome do evento: IEEE International Instrumentation and Measurement Technology Conference - I2MTC. Unidades: ICMC, EESC
Assuntos: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, MANUTENÇÃO PREDITIVA, TRANSPORTADORES DE CORREIA
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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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10561167
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
Fonte: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC
Assuntos: 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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235
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
Fonte: Proceedings. Nome do evento: IEEE International Conference on Blockchain and Cryptocurrency - ICBC. Unidade: ICMC
Assuntos: 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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] Available from: https://doi.org/10.1109/ICBC59979.2024.10634442
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
Fonte: Multimedia Tools and Applications. Unidades: ICMC, IRI, EACH
Assuntos: 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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
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
Fonte: IEEE Transactions on Instrumentation and Measurement. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, INDÚSTRIA MINERAL, ESTATÍSTICA, MINERAÇÃO
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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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] 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
Fonte: Ad Hoc Networks. Unidade: ICMC
Assuntos: COMUNICAÇÃO, INTERNET DAS COISAS, REDES AD HOC
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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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] 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
Fonte: Journal of Information Security and Applications. Unidades: ICMC, EESC
Assuntos: BANCO DE DADOS, VOTAÇÃO, CRIPTOLOGIA, PRIVACIDADE
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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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] 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
Fonte: Expert Systems With Applications. Unidade: ICMC
Assuntos: 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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] 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
Fonte: Journal of Information Security and Applications. Unidades: EESC, ICMC
Assuntos: CRIPTOLOGIA, TOMADA DE DECISÃO, VOTO ELETRÔNICO, PRIVACIDADE, ENGENHARIA DE PRODUÇÃO
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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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] Available from: https://dx.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
Fonte: Proceedings. Nome do evento: International Conference on Autonomous Agents and Multiagent Systems - AAMAS. Unidade: ICMC
Assuntos: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO
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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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] 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
Fonte: Journal of Network and Systems Management. Unidade: ICMC
Assuntos: MIDDLEWARE, REGISTROS MÉDICOS, SEGURANÇA DE REDES
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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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] Available from: https://doi.org/10.1007/s10922-023-09736-1
Trabalho de evento
Evaluating conveyor belt health with signal processing applied to inertial sensing (2023)
Matos, Saulo Neves ; Coletti, Otavio Ferracioli; Ugucioni Filho, Fernando; Carvalho, Ricardo C. C. L; Pinto, Thomas V. B. e ; Barros, Luiz G. D. de; Ranieri, Caetano Mazzoni ; Lopes, Bruno Eduardo; Ueyama, Jó ; Pessin, Gustavo
Fonte: Proceedings. Nome do evento: Symposium on Internet of Things - SIoT. Unidades: ICMC, EESC
Assuntos: INDÚSTRIA MINERAL, FALHA, ANÁLISE ESTATÍSTICA DE DADOS
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ABNT
MATOS, Saulo Neves et al. Evaluating conveyor belt health with signal processing applied to inertial sensing. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/SIoT60039.2023.10390088. Acesso em: 19 out. 2024.
APA
Matos, S. N., Coletti, O. F., Ugucioni Filho, F., Carvalho, R. C. C. L., Pinto, T. V. B. e, Barros, L. G. D. de, et al. (2023). Evaluating conveyor belt health with signal processing applied to inertial sensing. In Proceedings. Piscataway: IEEE. doi:10.1109/SIOT60039.2023.10390088
NLM
Matos SN, Coletti OF, Ugucioni Filho F, Carvalho RCCL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Ueyama J, Pessin G. Evaluating conveyor belt health with signal processing applied to inertial sensing [Internet]. Proceedings. 2023 ;[citado 2024 out. 19 ] Available from: https://doi.org/10.1109/SIoT60039.2023.10390088
Vancouver
Matos SN, Coletti OF, Ugucioni Filho F, Carvalho RCCL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Ueyama J, Pessin G. Evaluating conveyor belt health with signal processing applied to inertial sensing [Internet]. Proceedings. 2023 ;[citado 2024 out. 19 ] Available from: https://doi.org/10.1109/SIoT60039.2023.10390088
Artigo de periodico
Machine learning for enhanced credit risk assessment: an empirical approach (2023)
Suhadolnik, Nicolas ; Ueyama, Jó ; Silva, Sergio da
Fonte: Journal of Risk and Financial Management. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RISCO, CRÉDITO
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ABNT
SUHADOLNIK, Nicolas e UEYAMA, Jó e SILVA, Sergio da. Machine learning for enhanced credit risk assessment: an empirical approach. Journal of Risk and Financial Management, v. 16, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.3390/jrfm16120496. Acesso em: 19 out. 2024.
APA
Suhadolnik, N., Ueyama, J., & Silva, S. da. (2023). Machine learning for enhanced credit risk assessment: an empirical approach. Journal of Risk and Financial Management, 16, 1-21. doi:10.3390/jrfm16120496
NLM
Suhadolnik N, Ueyama J, Silva S da. Machine learning for enhanced credit risk assessment: an empirical approach [Internet]. Journal of Risk and Financial Management. 2023 ; 16 1-21.[citado 2024 out. 19 ] Available from: https://doi.org/10.3390/jrfm16120496
Vancouver
Suhadolnik N, Ueyama J, Silva S da. Machine learning for enhanced credit risk assessment: an empirical approach [Internet]. Journal of Risk and Financial Management. 2023 ; 16 1-21.[citado 2024 out. 19 ] Available from: https://doi.org/10.3390/jrfm16120496
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
Fonte: Electronics. Unidades: ICMC, IME
Assuntos: 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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] 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
Fonte: Journal of Ambient Intelligence and Humanized Computing. Unidade: ICMC
Assuntos: 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: 19 out. 2024.
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 2024 out. 19 ] 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 2024 out. 19 ] Available from: https://doi.org/10.1007/s12652-019-01280-8
Trabalho de evento
Artificial neural networks applied to time series for flood prediction (2023)
Mesquita, Laleska A. F; Ranieri, Caetano Mazzoni ; Ueyama, Jó
Fonte: Anais. Nome do evento: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidade: ICMC
Assuntos: ENCHENTES URBANAS, INTELIGÊNCIA ARTIFICIAL, ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS, PREDIÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MESQUITA, Laleska A. F e RANIERI, Caetano Mazzoni e UEYAMA, Jó. Artificial neural networks applied to time series for flood prediction. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/eniac.2023.234355. Acesso em: 19 out. 2024.
APA
Mesquita, L. A. F., Ranieri, C. M., & Ueyama, J. (2023). Artificial neural networks applied to time series for flood prediction. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2023.234355.
NLM
Mesquita LAF, Ranieri CM, Ueyama J. Artificial neural networks applied to time series for flood prediction [Internet]. Anais. 2023 ;[citado 2024 out. 19 ] Available from: https://doi.org/10.5753/eniac.2023.234355
Vancouver
Mesquita LAF, Ranieri CM, Ueyama J. Artificial neural networks applied to time series for flood prediction [Internet]. Anais. 2023 ;[citado 2024 out. 19 ] Available from: https://doi.org/10.5753/eniac.2023.234355
Trabalho de evento
Enhancing water level identification with a barcode-patterned panel and machine learning (2023)
Domingues Filho, Gabriel Montagni ; Ranieri, Caetano Mazzoni ; Batista, Douglas Queiroz Galucio; Ueyama, Jó
Fonte: Anais. Nome do evento: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidades: ICMC, EESC
Assuntos: VISÃO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, ENCHENTES URBANAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DOMINGUES FILHO, Gabriel Montagni et al. Enhancing water level identification with a barcode-patterned panel and machine learning. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/eniac.2023.234311. Acesso em: 19 out. 2024.
APA
Domingues Filho, G. M., Ranieri, C. M., Batista, D. Q. G., & Ueyama, J. (2023). Enhancing water level identification with a barcode-patterned panel and machine learning. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2023.234311
NLM
Domingues Filho GM, Ranieri CM, Batista DQG, Ueyama J. Enhancing water level identification with a barcode-patterned panel and machine learning [Internet]. Anais. 2023 ;[citado 2024 out. 19 ] Available from: https://doi.org/10.5753/eniac.2023.234311
Vancouver
Domingues Filho GM, Ranieri CM, Batista DQG, Ueyama J. Enhancing water level identification with a barcode-patterned panel and machine learning [Internet]. Anais. 2023 ;[citado 2024 out. 19 ] Available from: https://doi.org/10.5753/eniac.2023.234311
Artigo de periodico
Vehicular edge computing: architecture, resource management, security, and challenges (2023)
Meneguette, Rodolfo Ipolito ; Grande, Robson E. De ; Ueyama, Jó ; Rocha Filho, Geraldo Pereira ; Madeira, Edmundo Roberto Mauro
Fonte: ACM Computing Surveys. Unidade: ICMC
Assuntos: VEÍCULOS RODOVIÁRIOS, ALOCAÇÃO DE RECURSOS, COMPUTAÇÃO EM NUVEM, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENEGUETTE, Rodolfo Ipolito et al. Vehicular edge computing: architecture, resource management, security, and challenges. ACM Computing Surveys, v. 55, n. 1, p. 1-46, 2023Tradução . . Disponível em: https://doi.org/10.1145/3485129. Acesso em: 19 out. 2024.
APA
Meneguette, R. I., Grande, R. E. D., Ueyama, J., Rocha Filho, G. P., & Madeira, E. R. M. (2023). Vehicular edge computing: architecture, resource management, security, and challenges. ACM Computing Surveys, 55( 1), 1-46. doi:10.1145/3485129
NLM
Meneguette RI, Grande RED, Ueyama J, Rocha Filho GP, Madeira ERM. Vehicular edge computing: architecture, resource management, security, and challenges [Internet]. ACM Computing Surveys. 2023 ; 55( 1): 1-46.[citado 2024 out. 19 ] Available from: https://doi.org/10.1145/3485129
Vancouver
Meneguette RI, Grande RED, Ueyama J, Rocha Filho GP, Madeira ERM. Vehicular edge computing: architecture, resource management, security, and challenges [Internet]. ACM Computing Surveys. 2023 ; 55( 1): 1-46.[citado 2024 out. 19 ] Available from: https://doi.org/10.1145/3485129
Trabalho de evento-anais periodico
Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach (2023)
Zuñiga, Esteban Wilfredo Vilca ; Ranieri, Caetano Mazzoni ; Zhao, Liang ; Ueyama, Jó ; Zhu, Yu-tao; Ji, Donghong
Fonte: Proceedings. Nome do evento: International Neural Network Society Workshop on Deep Learning Innovations and Applications - INNS DLIA. Unidades: FFCLRP, ICMC
Assuntos: DINHEIRO ELETRÔNICO, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, INVESTIMENTOS, LUCRO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZUÑIGA, Esteban Wilfredo Vilca et al. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2023.08.192. Acesso em: 19 out. 2024. , 2023
APA
Zuñiga, E. W. V., Ranieri, C. M., Zhao, L., Ueyama, J., Zhu, Y. -tao, & Ji, D. (2023). Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. doi:10.1016/j.procs.2023.08.192
NLM
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 out. 19 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Vancouver
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 out. 19 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192

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