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Artigo de periodico
Cascade proportional-integral control design and affordable instrumentation system for enhanced performance of electrolytic dry cells (2024)
Matos, Saulo Neves ; Reis, Gemírson de Paula dos ; Leal, Elisângela Martins ; Figueiredo, Robson L; Euzébio, Thiago A. M ; Rêgo Segundo, Alan Kardek
Source: Sensors. Unidade: ICMC
Subjects: INSTRUMENTAÇÃO DE SISTEMAS, ELETRÓLISE, HIDROGÊNIO
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MATOS, Saulo Neves et al. Cascade proportional-integral control design and affordable instrumentation system for enhanced performance of electrolytic dry cells. Sensors, v. 24, n. 16, p. 1-16, 2024Tradução . . Disponível em: https://doi.org/10.3390/s24165427. Acesso em: 05 nov. 2024.
APA
Matos, S. N., Reis, G. de P. dos, Leal, E. M., Figueiredo, R. L., Euzébio, T. A. M., & Rêgo Segundo, A. K. (2024). Cascade proportional-integral control design and affordable instrumentation system for enhanced performance of electrolytic dry cells. Sensors, 24( 16), 1-16. doi:10.3390/s24165427
NLM
Matos SN, Reis G de P dos, Leal EM, Figueiredo RL, Euzébio TAM, Rêgo Segundo AK. Cascade proportional-integral control design and affordable instrumentation system for enhanced performance of electrolytic dry cells [Internet]. Sensors. 2024 ; 24( 16): 1-16.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s24165427
Vancouver
Matos SN, Reis G de P dos, Leal EM, Figueiredo RL, Euzébio TAM, Rêgo Segundo AK. Cascade proportional-integral control design and affordable instrumentation system for enhanced performance of electrolytic dry cells [Internet]. Sensors. 2024 ; 24( 16): 1-16.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s24165427
Artigo de periodico
Soundscape characterization using autoencoders and unsupervised learning (2024)
Nieto-Mora, Daniel Alexis ; Oliveira, Maria Cristina Ferreira de ; Sanchez-Giraldo, Camilo ; Duque-Muñoz, Leonardo ; Isaza-Narváez, Claudia ; Martínez-Vargas, Juan David
Source: Sensors. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE PADRÕES, ACÚSTICA, MONITORAMENTO AMBIENTAL
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NIETO-MORA, Daniel Alexis et al. Soundscape characterization using autoencoders and unsupervised learning. Sensors, v. 24, n. 8, p. 1-21, 2024Tradução . . Disponível em: https://doi.org/10.3390/s24082597. Acesso em: 05 nov. 2024.
APA
Nieto-Mora, D. A., Oliveira, M. C. F. de, Sanchez-Giraldo, C., Duque-Muñoz, L., Isaza-Narváez, C., & Martínez-Vargas, J. D. (2024). Soundscape characterization using autoencoders and unsupervised learning. Sensors, 24( 8), 1-21. doi:10.3390/s24082597
NLM
Nieto-Mora DA, Oliveira MCF de, Sanchez-Giraldo C, Duque-Muñoz L, Isaza-Narváez C, Martínez-Vargas JD. Soundscape characterization using autoencoders and unsupervised learning [Internet]. Sensors. 2024 ; 24( 8): 1-21.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s24082597
Vancouver
Nieto-Mora DA, Oliveira MCF de, Sanchez-Giraldo C, Duque-Muñoz L, Isaza-Narváez C, Martínez-Vargas JD. Soundscape characterization using autoencoders and unsupervised learning [Internet]. Sensors. 2024 ; 24( 8): 1-21.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s24082597
Artigo de periodico
Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems (2024)
Rosero, Luis Alberto Rosero ; Gomes, Iago Pachêco ; Silva, Júnior Anderson Rodrigues da ; Przewodowski Filho, Carlos Andre Braile ; Wolf, Denis Fernando ; Osório, Fernando Santos
Source: Sensors. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, SIMULAÇÃO, DIREÇÃO VEICULAR, SEGURANÇA VEICULAR
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ROSERO, Luis Alberto Rosero et al. Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems. Sensors, v. 24, n. 7, p. 1-30, 2024Tradução . . Disponível em: https://doi.org/10.3390/s24072097. Acesso em: 05 nov. 2024.
APA
Rosero, L. A. R., Gomes, I. P., Silva, J. A. R. da, Przewodowski Filho, C. A. B., Wolf, D. F., & Osório, F. S. (2024). Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems. Sensors, 24( 7), 1-30. doi:10.3390/s24072097
NLM
Rosero LAR, Gomes IP, Silva JAR da, Przewodowski Filho CAB, Wolf DF, Osório FS. Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems [Internet]. Sensors. 2024 ; 24( 7): 1-30.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s24072097
Vancouver
Rosero LAR, Gomes IP, Silva JAR da, Przewodowski Filho CAB, Wolf DF, Osório FS. Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems [Internet]. Sensors. 2024 ; 24( 7): 1-30.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s24072097
Artigo de periodico
Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem (2023)
Ferreira, Antonio Marcos Almeida ; Azevedo, Leonildo José de Melo de ; Estrella, Júlio Cezar ; Delbem, Alexandre Cláudio Botazzo
Source: Sensors. Unidade: ICMC
Subjects: ALGORITMOS, TOMADA DE DECISÃO, INTERNET DAS COISAS, ANÁLISE DE DESEMPENHO
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FERREIRA, Antonio Marcos Almeida et al. Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem. Sensors, v. 23, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.3390/s23042300. Acesso em: 05 nov. 2024.
APA
Ferreira, A. M. A., Azevedo, L. J. de M. de, Estrella, J. C., & Delbem, A. C. B. (2023). Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem. Sensors, 23, 1-18. doi:10.3390/s23042300
NLM
Ferreira AMA, Azevedo LJ de M de, Estrella JC, Delbem ACB. Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem [Internet]. Sensors. 2023 ; 23 1-18.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s23042300
Vancouver
Ferreira AMA, Azevedo LJ de M de, Estrella JC, Delbem ACB. Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem [Internet]. Sensors. 2023 ; 23 1-18.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s23042300
Artigo de periodico
Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors (2023)
Ferraz Júnior, Fábio ; Romero, Roseli Aparecida Francelin ; Hsieh, Sheng-Jen
Source: Sensors. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, MANUTENÇÃO PREDITIVA, MOTORES ELÉTRICOS
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FERRAZ JÚNIOR, Fábio e ROMERO, Roseli Aparecida Francelin e HSIEH, Sheng-Jen. Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors. Sensors, v. 23, n. 24, p. 1-25, 2023Tradução . . Disponível em: https://doi.org/10.3390/s23249725. Acesso em: 05 nov. 2024.
APA
Ferraz Júnior, F., Romero, R. A. F., & Hsieh, S. -J. (2023). Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors. Sensors, 23( 24), 1-25. doi:10.3390/s23249725
NLM
Ferraz Júnior F, Romero RAF, Hsieh S-J. Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors [Internet]. Sensors. 2023 ; 23( 24): 1-25.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s23249725
Vancouver
Ferraz Júnior F, Romero RAF, Hsieh S-J. Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors [Internet]. Sensors. 2023 ; 23( 24): 1-25.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s23249725
Artigo de periodico
Development of an efficiency platform based on MQTT for UAV controlling and DoS attack detection (2022)
Silva, Leandro Marcos da ; Menezes, Henrique Bonini de Britto ; Luccas, Matheus dos Santos ; Mailer, Christian ; Pinto, Alex Sandro Roschildt ; Boava, Adão ; Rodrigues, Mariana; Ferrão, Isadora Garcia ; Estrella, Júlio Cezar ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Sensors. Unidade: ICMC
Subjects: AERONAVES NÃO TRIPULADAS, INTERNET DAS COISAS, INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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SILVA, Leandro Marcos da et al. Development of an efficiency platform based on MQTT for UAV controlling and DoS attack detection. Sensors, v. 22, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22176567. Acesso em: 05 nov. 2024.
APA
Silva, L. M. da, Menezes, H. B. de B., Luccas, M. dos S., Mailer, C., Pinto, A. S. R., Boava, A., et al. (2022). Development of an efficiency platform based on MQTT for UAV controlling and DoS attack detection. Sensors, 22, 1-20. doi:10.3390/s22176567
NLM
Silva LM da, Menezes HB de B, Luccas M dos S, Mailer C, Pinto ASR, Boava A, Rodrigues M, Ferrão IG, Estrella JC, Branco KRLJC. Development of an efficiency platform based on MQTT for UAV controlling and DoS attack detection [Internet]. Sensors. 2022 ; 22 1-20.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22176567
Vancouver
Silva LM da, Menezes HB de B, Luccas M dos S, Mailer C, Pinto ASR, Boava A, Rodrigues M, Ferrão IG, Estrella JC, Branco KRLJC. Development of an efficiency platform based on MQTT for UAV controlling and DoS attack detection [Internet]. Sensors. 2022 ; 22 1-20.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22176567
Artigo de periodico
A TDD framework for automated monitoring in internet of things with machine learning (2022)
Hayashi, Victor Takashi ; Ruggiero, Wilson Vicente ; Estrella, Júlio Cezar ; Quintino Filho, Artino; Pita, Matheus Ancelmo Bonfim; Arakaki, Reginaldo ; Ribeiro, Cairo Mateus Neves; Trazzi, Bruno Manias ; Bulla Junior, Romeo
Source: Sensors. Unidades: EP, ICMC, EACH
Subjects: INTERNET DAS COISAS, APRENDIZADO COMPUTACIONAL, ENGENHARIA DE SOFTWARE
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HAYASHI, Victor Takashi et al. A TDD framework for automated monitoring in internet of things with machine learning. Sensors, v. 22, n. 23, p. 1-25, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22239498. Acesso em: 05 nov. 2024.
APA
Hayashi, V. T., Ruggiero, W. V., Estrella, J. C., Quintino Filho, A., Pita, M. A. B., Arakaki, R., et al. (2022). A TDD framework for automated monitoring in internet of things with machine learning. Sensors, 22( 23), 1-25. doi:10.3390/s22239498
NLM
Hayashi VT, Ruggiero WV, Estrella JC, Quintino Filho A, Pita MAB, Arakaki R, Ribeiro CMN, Trazzi BM, Bulla Junior R. A TDD framework for automated monitoring in internet of things with machine learning [Internet]. Sensors. 2022 ; 22( 23): 1-25.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22239498
Vancouver
Hayashi VT, Ruggiero WV, Estrella JC, Quintino Filho A, Pita MAB, Arakaki R, Ribeiro CMN, Trazzi BM, Bulla Junior R. A TDD framework for automated monitoring in internet of things with machine learning [Internet]. Sensors. 2022 ; 22( 23): 1-25.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22239498
Artigo de periodico
HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment (2022)
Rocha Filho, Geraldo Pereira ; Brandão, Artur Henrique ; Nobre, Renato Avellar ; Meneguette, Rodolfo Ipolito ; Vieira, Heitor de Freitas ; Gonçalves, Vinicius Pereira
Source: Sensors. Unidade: ICMC
Subjects: INTERNET DAS COISAS, INTEROPERABILIDADE, COMUNICAÇÃO
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ROCHA FILHO, Geraldo Pereira et al. HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment. Sensors, v. 22, n. 16, p. -12, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22166257. Acesso em: 05 nov. 2024.
APA
Rocha Filho, G. P., Brandão, A. H., Nobre, R. A., Meneguette, R. I., Vieira, H. de F., & Gonçalves, V. P. (2022). HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment. Sensors, 22( 16), -12. doi:10.3390/s22166257
NLM
Rocha Filho GP, Brandão AH, Nobre RA, Meneguette RI, Vieira H de F, Gonçalves VP. HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment [Internet]. Sensors. 2022 ; 22( 16): -12.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22166257
Vancouver
Rocha Filho GP, Brandão AH, Nobre RA, Meneguette RI, Vieira H de F, Gonçalves VP. HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment [Internet]. Sensors. 2022 ; 22( 16): -12.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22166257
Artigo de periodico
Analysis of spatially distributed data in internet of things in the environmental context (2022)
Azevedo, Leonildo José de Melo de ; Estrella, Júlio Cezar ; Delbem, Alexandre Cláudio Botazzo ; Meneguette, Rodolfo Ipolito ; Reiff-Marganiec, Stephan ; Andrade, Sidgley Camargo de
Source: Sensors. Unidade: ICMC
Subjects: INTERNET DAS COISAS, TOMADA DE DECISÃO, ANÁLISE DE DADOS, ESTATÍSTICAS ESPACIAIS
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AZEVEDO, Leonildo José de Melo de et al. Analysis of spatially distributed data in internet of things in the environmental context. Sensors, v. 22, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22051693. Acesso em: 05 nov. 2024.
APA
Azevedo, L. J. de M. de, Estrella, J. C., Delbem, A. C. B., Meneguette, R. I., Reiff-Marganiec, S., & Andrade, S. C. de. (2022). Analysis of spatially distributed data in internet of things in the environmental context. Sensors, 22, 1-21. doi:10.3390/s22051693
NLM
Azevedo LJ de M de, Estrella JC, Delbem ACB, Meneguette RI, Reiff-Marganiec S, Andrade SC de. Analysis of spatially distributed data in internet of things in the environmental context [Internet]. Sensors. 2022 ; 22 1-21.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22051693
Vancouver
Azevedo LJ de M de, Estrella JC, Delbem ACB, Meneguette RI, Reiff-Marganiec S, Andrade SC de. Analysis of spatially distributed data in internet of things in the environmental context [Internet]. Sensors. 2022 ; 22 1-21.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22051693
Artigo de periodico
IoT off-grid, data collection from a machine learning classification using UAV (2022)
Goulart, Ademir ; Pinto, Alex Sandro Roschildt ; Boava, Adão ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Sensors. Unidade: ICMC
Subjects: INTERNET DAS COISAS, AERONAVES NÃO TRIPULADAS, APRENDIZADO COMPUTACIONAL
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GOULART, Ademir et al. IoT off-grid, data collection from a machine learning classification using UAV. Sensors, v. 22, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22197241. Acesso em: 05 nov. 2024.
APA
Goulart, A., Pinto, A. S. R., Boava, A., & Branco, K. R. L. J. C. (2022). IoT off-grid, data collection from a machine learning classification using UAV. Sensors, 22, 1-16. doi:10.3390/s22197241
NLM
Goulart A, Pinto ASR, Boava A, Branco KRLJC. IoT off-grid, data collection from a machine learning classification using UAV [Internet]. Sensors. 2022 ; 22 1-16.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22197241
Vancouver
Goulart A, Pinto ASR, Boava A, Branco KRLJC. IoT off-grid, data collection from a machine learning classification using UAV [Internet]. Sensors. 2022 ; 22 1-16.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22197241
Artigo de periodico
A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem (2022)
Viana, Monique Simplicio ; Contreras, Rodrigo Colnago ; Morandin Junior, Orides
Source: Sensors. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA
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VIANA, Monique Simplicio e CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem. Sensors, v. 22, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22124561. Acesso em: 05 nov. 2024.
APA
Viana, M. S., Contreras, R. C., & Morandin Junior, O. (2022). A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem. Sensors, 22, 1-26. doi:10.3390/s22124561
NLM
Viana MS, Contreras RC, Morandin Junior O. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem [Internet]. Sensors. 2022 ; 22 1-26.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22124561
Vancouver
Viana MS, Contreras RC, Morandin Junior O. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem [Internet]. Sensors. 2022 ; 22 1-26.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22124561
Artigo de periodico
Data collection in an IoT off-grid environment systematic mapping of literature (2022)
Goulart, Ademir ; Pinto, Alex Sandro Roschildt ; Boava, Adão; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Sensors. Unidade: ICMC
Subjects: REVISÃO SISTEMÁTICA, ALGORITMOS, INTERNET DAS COISAS
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GOULART, Ademir et al. Data collection in an IoT off-grid environment systematic mapping of literature. Sensors, v. 22, n. 14, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22145374. Acesso em: 05 nov. 2024.
APA
Goulart, A., Pinto, A. S. R., Boava, A., & Branco, K. R. L. J. C. (2022). Data collection in an IoT off-grid environment systematic mapping of literature. Sensors, 22( 14), 1-12. doi:10.3390/s22145374
NLM
Goulart A, Pinto ASR, Boava A, Branco KRLJC. Data collection in an IoT off-grid environment systematic mapping of literature [Internet]. Sensors. 2022 ; 22( 14): 1-12.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22145374
Vancouver
Goulart A, Pinto ASR, Boava A, Branco KRLJC. Data collection in an IoT off-grid environment systematic mapping of literature [Internet]. Sensors. 2022 ; 22( 14): 1-12.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s22145374
Artigo de periodico
FORESAM-FOG paradigm-based resource allocation mechanism for vehicular clouds (2021)
Pereira, Rickson Simioni ; Boukerche, Azzedine ; Silva, Marco Antonio Colombo da ; Nakamura, Luis Hideo Vasconcelos ; Vieira, Heitor de Freitas ; Rocha Filho, Geraldo Pereira ; Meneguette, Rodolfo Ipolito
Source: Sensors. Unidade: ICMC
Subjects: SISTEMAS INTELIGENTES DE TRANSPORTES, ALOCAÇÃO DE RECURSOS, MODELOS MATEMÁTICOS
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PEREIRA, Rickson Simioni et al. FORESAM-FOG paradigm-based resource allocation mechanism for vehicular clouds. Sensors, v. 21, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21155028. Acesso em: 05 nov. 2024.
APA
Pereira, R. S., Boukerche, A., Silva, M. A. C. da, Nakamura, L. H. V., Vieira, H. de F., Rocha Filho, G. P., & Meneguette, R. I. (2021). FORESAM-FOG paradigm-based resource allocation mechanism for vehicular clouds. Sensors, 21, 1-17. doi:10.3390/s21155028
NLM
Pereira RS, Boukerche A, Silva MAC da, Nakamura LHV, Vieira H de F, Rocha Filho GP, Meneguette RI. FORESAM-FOG paradigm-based resource allocation mechanism for vehicular clouds [Internet]. Sensors. 2021 ; 21 1-17.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21155028
Vancouver
Pereira RS, Boukerche A, Silva MAC da, Nakamura LHV, Vieira H de F, Rocha Filho GP, Meneguette RI. FORESAM-FOG paradigm-based resource allocation mechanism for vehicular clouds [Internet]. Sensors. 2021 ; 21 1-17.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21155028
Artigo de periodico
Activity recognition for ambient assisted living with videos, inertial units and ambient sensors (2021)
Ranieri, Caetano Mazzoni ; MacLeod, Scott ; Dragone, Mauro ; Vargas, Patrícia Amâncio ; Romero, Roseli Aparecida Francelin
Source: Sensors. Unidade: ICMC
Subjects: ROBÓTICA, APRENDIZADO COMPUTACIONAL, INTERAÇÃO HOMEM-MÁQUINA, ROBÔS, RECONHECIMENTO DE IMAGEM
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RANIERI, Caetano Mazzoni et al. Activity recognition for ambient assisted living with videos, inertial units and ambient sensors. Sensors, v. 21, n. 3, p. 1-32, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21030768. Acesso em: 05 nov. 2024.
APA
Ranieri, C. M., MacLeod, S., Dragone, M., Vargas, P. A., & Romero, R. A. F. (2021). Activity recognition for ambient assisted living with videos, inertial units and ambient sensors. Sensors, 21( 3), 1-32. doi:10.3390/s21030768
NLM
Ranieri CM, MacLeod S, Dragone M, Vargas PA, Romero RAF. Activity recognition for ambient assisted living with videos, inertial units and ambient sensors [Internet]. Sensors. 2021 ; 21( 3): 1-32.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21030768
Vancouver
Ranieri CM, MacLeod S, Dragone M, Vargas PA, Romero RAF. Activity recognition for ambient assisted living with videos, inertial units and ambient sensors [Internet]. Sensors. 2021 ; 21( 3): 1-32.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21030768
Artigo de periodico
NE-Motion: visual analysis of stroke patients using motion sensor networks (2021)
Contreras, Rodrigo Colnago ; Parnandi, Avinash ; Coelho, Bruno Gomes ; Silva, Claudio ; Schambra, Heidi ; Nonato, Luis Gustavo
Source: Sensors. Unidade: ICMC
Subjects: TEORIA DOS CONJUNTOS, VISUALIZAÇÃO, ACIDENTE VASCULAR CEREBRAL
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CONTRERAS, Rodrigo Colnago et al. NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, v. 21, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21134482. Acesso em: 05 nov. 2024.
APA
Contreras, R. C., Parnandi, A., Coelho, B. G., Silva, C., Schambra, H., & Nonato, L. G. (2021). NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, 21, 1-22. doi:10.3390/s21134482
NLM
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21134482
Vancouver
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21134482
Artigo de periodico
FEA and machine learning techniques for hidden structure analysis (2021)
Shi, Xijin ; Hsieh, Sheng-Jen ; Romero, Roseli Aparecida Francelin
Source: Sensors. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MÉTODO DOS ELEMENTOS FINITOS, VISÃO COMPUTACIONAL, SISTEMA RADICULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SHI, Xijin e HSIEH, Sheng-Jen e ROMERO, Roseli Aparecida Francelin. FEA and machine learning techniques for hidden structure analysis. Sensors, v. 21, n. 15, p. 1-24, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21155159. Acesso em: 05 nov. 2024.
APA
Shi, X., Hsieh, S. -J., & Romero, R. A. F. (2021). FEA and machine learning techniques for hidden structure analysis. Sensors, 21( 15), 1-24. doi:10.3390/s21155159
NLM
Shi X, Hsieh S-J, Romero RAF. FEA and machine learning techniques for hidden structure analysis [Internet]. Sensors. 2021 ; 21( 15): 1-24.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21155159
Vancouver
Shi X, Hsieh S-J, Romero RAF. FEA and machine learning techniques for hidden structure analysis [Internet]. Sensors. 2021 ; 21( 15): 1-24.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21155159
Artigo de periodico
Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil (2021)
Amaral, Fabio Vinicius Góes ; Casaca, Wallace Correa de Oliveira ; Oishi, Cassio Machiaveli ; Cuminato, José Alberto
Source: Sensors. Unidade: ICMC
Subjects: COVID-19, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARAL, Fabio Vinicius Góes et al. Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil. Sensors, v. 21, n. 2, p. 1-25, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21020540. Acesso em: 05 nov. 2024.
APA
Amaral, F. V. G., Casaca, W. C. de O., Oishi, C. M., & Cuminato, J. A. (2021). Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil. Sensors, 21( 2), 1-25. doi:10.3390/s21020540
NLM
Amaral FVG, Casaca WC de O, Oishi CM, Cuminato JA. Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil [Internet]. Sensors. 2021 ; 21( 2): 1-25.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21020540
Vancouver
Amaral FVG, Casaca WC de O, Oishi CM, Cuminato JA. Towards providing effective data-driven responses to predict the Covid-19 in São Paulo and Brazil [Internet]. Sensors. 2021 ; 21( 2): 1-25.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21020540
Artigo de periodico
MoHRiPA: an architecture for hybrid resources management of private cloud environments (2021)
Andreazi, Gabriel Tomiatti; Estrella, Júlio Cezar ; Bruschi, Sarita Mazzini ; Immich, Roger ; Guidoni, Daniel Ludovico ; Pereira Júnior, Lourenço Alves ; Meneguette, Rodolfo Ipolito
Source: Sensors. Unidade: ICMC
Subjects: COMPUTAÇÃO EM NUVEM, AVALIAÇÃO DE DESEMPENHO, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREAZI, Gabriel Tomiatti et al. MoHRiPA: an architecture for hybrid resources management of private cloud environments. Sensors, v. 21, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21206857. Acesso em: 05 nov. 2024.
APA
Andreazi, G. T., Estrella, J. C., Bruschi, S. M., Immich, R., Guidoni, D. L., Pereira Júnior, L. A., & Meneguette, R. I. (2021). MoHRiPA: an architecture for hybrid resources management of private cloud environments. Sensors, 21, 1-17. doi:10.3390/s21206857
NLM
Andreazi GT, Estrella JC, Bruschi SM, Immich R, Guidoni DL, Pereira Júnior LA, Meneguette RI. MoHRiPA: an architecture for hybrid resources management of private cloud environments [Internet]. Sensors. 2021 ; 21 1-17.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21206857
Vancouver
Andreazi GT, Estrella JC, Bruschi SM, Immich R, Guidoni DL, Pereira Júnior LA, Meneguette RI. MoHRiPA: an architecture for hybrid resources management of private cloud environments [Internet]. Sensors. 2021 ; 21 1-17.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21206857
Artigo de periodico
Memory-based pruning of deep neural networks for IoT devices applied to flood detection (2021)
Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ranieri, Caetano Mazzoni ; Ueyama, Jó
Source: Sensors. Unidade: ICMC
Subjects: ENCHENTES URBANAS, REDES NEURAIS, INTERNET DAS COISAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES JUNIOR, Francisco Erivaldo et al. Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, v. 21, n. 22, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21227506. Acesso em: 05 nov. 2024.
APA
Fernandes Junior, F. E., Nonato, L. G., Ranieri, C. M., & Ueyama, J. (2021). Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, 21( 22), 1-18. doi:10.3390/s21227506
NLM
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21227506
Vancouver
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21227506
Artigo de periodico
Integrating cognitive radio with unmanned aerial vehicles: an overview (2021)
Santana, Guilherme Marcel Dias ; Cristo, Rogers Silva de ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Sensors. Unidade: ICMC
Subjects: AERONAVES NÃO TRIPULADAS, APRENDIZADO COMPUTACIONAL, COMUNICAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTANA, Guilherme Marcel Dias e CRISTO, Rogers Silva de e BRANCO, Kalinka Regina Lucas Jaquie Castelo. Integrating cognitive radio with unmanned aerial vehicles: an overview. Sensors, v. 21, p. 1-27, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21030830. Acesso em: 05 nov. 2024.
APA
Santana, G. M. D., Cristo, R. S. de, & Branco, K. R. L. J. C. (2021). Integrating cognitive radio with unmanned aerial vehicles: an overview. Sensors, 21, 1-27. doi:10.3390/s21030830
NLM
Santana GMD, Cristo RS de, Branco KRLJC. Integrating cognitive radio with unmanned aerial vehicles: an overview [Internet]. Sensors. 2021 ; 21 1-27.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21030830
Vancouver
Santana GMD, Cristo RS de, Branco KRLJC. Integrating cognitive radio with unmanned aerial vehicles: an overview [Internet]. Sensors. 2021 ; 21 1-27.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s21030830

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