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  • Source: IEEE Sensors Journal. Unidade: EESC

    Assunto: ENGENHARIA ELÉTRICA

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      ALARCON, Júlio Cesar Picolo et al. Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks. IEEE Sensors Journal, p. 1-11, 2024Tradução . . Disponível em: https://dx.doi.org/ 10.1109/JSEN.2024.3448221. Acesso em: 10 out. 2024.
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      Alarcon, J. C. P., Souza, M. I. de O., Pepino, V. M., & Borges, B. -H. V. (2024). Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks. IEEE Sensors Journal, 1-11. doi:10.1109/JSEN.2024.3448221
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      Alarcon JCP, Souza MI de O, Pepino VM, Borges B-HV. Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks [Internet]. IEEE Sensors Journal. 2024 ; 1-11.[citado 2024 out. 10 ] Available from: https://dx.doi.org/ 10.1109/JSEN.2024.3448221
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      Alarcon JCP, Souza MI de O, Pepino VM, Borges B-HV. Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks [Internet]. IEEE Sensors Journal. 2024 ; 1-11.[citado 2024 out. 10 ] Available from: https://dx.doi.org/ 10.1109/JSEN.2024.3448221
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: REDES NEURAIS, ESPECTROSCOPIA, APRENDIZADO COMPUTACIONAL, AZEITE, ENGENHARIA ELÉTRICA

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      ALARCON, Julio C. P. et al. Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks. IEEE Sensors Journal, p. 1-11, 2024Tradução . . Disponível em: http://dx.doi.org/10.1109/JSEN.2024.3448221. Acesso em: 10 out. 2024.
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      Alarcon, J. C. P., Souza, M. I. de O., Pepino, V. M., & Borges, B. -H. V. (2024). Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks. IEEE Sensors Journal, 1-11. doi:10.1109/JSEN.2024.3448221
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      Alarcon JCP, Souza MI de O, Pepino VM, Borges B-HV. Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks [Internet]. IEEE Sensors Journal. 2024 ; 1-11.[citado 2024 out. 10 ] Available from: http://dx.doi.org/10.1109/JSEN.2024.3448221
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      Alarcon JCP, Souza MI de O, Pepino VM, Borges B-HV. Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks [Internet]. IEEE Sensors Journal. 2024 ; 1-11.[citado 2024 out. 10 ] Available from: http://dx.doi.org/10.1109/JSEN.2024.3448221
  • Source: IEEE Sensors Journal. Unidade: EP

    Subjects: ULTRASSOM, TOMOGRAFIA

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      PIGATTO, Andre Vieira et al. LUFT: a low-frequency ultrasound tomography system designed for lung imaging. IEEE Sensors Journal, v. 24, n. 7, p. 11091-11101, 2024Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2024.3359634. Acesso em: 10 out. 2024.
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      Pigatto, A. V., Rosa, N. B. da, Furuie, S. S., & Mueller, J. L. (2024). LUFT: a low-frequency ultrasound tomography system designed for lung imaging. IEEE Sensors Journal, 24( 7), 11091-11101. doi:10.1109/JSEN.2024.3359634
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      Pigatto AV, Rosa NB da, Furuie SS, Mueller JL. LUFT: a low-frequency ultrasound tomography system designed for lung imaging [Internet]. IEEE Sensors Journal. 2024 ; 24( 7): 11091-11101.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2024.3359634
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      Pigatto AV, Rosa NB da, Furuie SS, Mueller JL. LUFT: a low-frequency ultrasound tomography system designed for lung imaging [Internet]. IEEE Sensors Journal. 2024 ; 24( 7): 11091-11101.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2024.3359634
  • Source: IEEE Sensors Journal. Unidades: EESC, EP

    Subjects: BIOMATERIAIS, FERMENTAÇÃO, BACTÉRIAS, CELULOSE, ENGENHARIA ELÉTRICA

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      GINJA, ^Gabriel^Augusto et al. A humidity sensor based on bacterial nanocellulose membrane (BNC). IEEE Sensors Journal, v. 23, n. 4, p. 3485-3492, 2023Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2023.3234222. Acesso em: 10 out. 2024.
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      Ginja, ^G. ^A., Costa, J. P. de C. da, Gounella, R. H., Eirez Izquierdo, J. E., Carmo, J. P. P. do, Fonseca, F. J., et al. (2023). A humidity sensor based on bacterial nanocellulose membrane (BNC). IEEE Sensors Journal, 23( 4), 3485-3492. doi:10.1109/JSEN.2023.3234222
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      Ginja ^G^A, Costa JP de C da, Gounella RH, Eirez Izquierdo JE, Carmo JPP do, Fonseca FJ, Cavallari MR, Ando Junior OH, Souza SS de. A humidity sensor based on bacterial nanocellulose membrane (BNC) [Internet]. IEEE Sensors Journal. 2023 ; 23( 4): 3485-3492.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2023.3234222
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      Ginja ^G^A, Costa JP de C da, Gounella RH, Eirez Izquierdo JE, Carmo JPP do, Fonseca FJ, Cavallari MR, Ando Junior OH, Souza SS de. A humidity sensor based on bacterial nanocellulose membrane (BNC) [Internet]. IEEE Sensors Journal. 2023 ; 23( 4): 3485-3492.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2023.3234222
  • Source: IEEE Sensors Journal. Unidades: EESC, IFSC

    Subjects: PROCESSAMENTO DE SINAIS, SENSOR, IMPEDÂNCIA ELÉTRICA, ENGENHARIA ELÉTRICA

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      BUSCAGLIA, Lorenzo Antonio e CARMO, João Paulo Pereira do e OLIVEIRA JUNIOR, Osvaldo Novais de. Simple-Z: a low-cost portable impedance analyzer. IEEE Sensors Journal, v. No 2023, n. 21, p. 26067-26074, 2023Tradução . . Disponível em: https://dx.doi.org/10.1109/JSEN.2023.3312039. Acesso em: 10 out. 2024.
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      Buscaglia, L. A., Carmo, J. P. P. do, & Oliveira Junior, O. N. de. (2023). Simple-Z: a low-cost portable impedance analyzer. IEEE Sensors Journal, No 2023( 21), 26067-26074. doi:10.1109/JSEN.2023.3312039
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      Buscaglia LA, Carmo JPP do, Oliveira Junior ON de. Simple-Z: a low-cost portable impedance analyzer [Internet]. IEEE Sensors Journal. 2023 ; No 2023( 21): 26067-26074.[citado 2024 out. 10 ] Available from: https://dx.doi.org/10.1109/JSEN.2023.3312039
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      Buscaglia LA, Carmo JPP do, Oliveira Junior ON de. Simple-Z: a low-cost portable impedance analyzer [Internet]. IEEE Sensors Journal. 2023 ; No 2023( 21): 26067-26074.[citado 2024 out. 10 ] Available from: https://dx.doi.org/10.1109/JSEN.2023.3312039
  • Source: IEEE Sensors Journal. Unidade: IEE

    Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, CAMPO MAGNÉTICO

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      RANASINGH, Soumyaranjan et al. An Approach to Wire-Wound Hall-Effect Based Current Sensor for Offset Reduction. IEEE Sensors Journal, v. 22, n. 3, p. 2006-2015, 2022Tradução . . Acesso em: 10 out. 2024.
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      Ranasingh, S., Pradhan, T., Raju, D. K., Singh, A. R., & Piantini, A. (2022). An Approach to Wire-Wound Hall-Effect Based Current Sensor for Offset Reduction. IEEE Sensors Journal, 22( 3), 2006-2015.
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      Ranasingh S, Pradhan T, Raju DK, Singh AR, Piantini A. An Approach to Wire-Wound Hall-Effect Based Current Sensor for Offset Reduction. IEEE Sensors Journal. 2022 ; 22( 3): 2006-2015.[citado 2024 out. 10 ]
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      Ranasingh S, Pradhan T, Raju DK, Singh AR, Piantini A. An Approach to Wire-Wound Hall-Effect Based Current Sensor for Offset Reduction. IEEE Sensors Journal. 2022 ; 22( 3): 2006-2015.[citado 2024 out. 10 ]
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, PROCESSOS DE MARKOV, ENGENHARIA MECÂNICA

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      GARCIA, Francisco A et al. Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket. IEEE Sensors Journal, v. 22, n. 3, p. 13251-13261, 2022Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2022.3177951. Acesso em: 10 out. 2024.
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      Garcia, F. A., Pérez Ibarra, J. C., Terra, M. H., & Siqueira, A. A. G. (2022). Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket. IEEE Sensors Journal, 22( 3), 13251-13261. doi:10.1109/JSEN.2022.3177951
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      Garcia FA, Pérez Ibarra JC, Terra MH, Siqueira AAG. Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket [Internet]. IEEE Sensors Journal. 2022 ; 22( 3): 13251-13261.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2022.3177951
    • Vancouver

      Garcia FA, Pérez Ibarra JC, Terra MH, Siqueira AAG. Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket [Internet]. IEEE Sensors Journal. 2022 ; 22( 3): 13251-13261.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2022.3177951
  • Source: IEEE Sensors Journal. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS EMBUTIDOS, RECONHECIMENTO DE PADRÕES, SENSOR

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      SILVA, Lucas Tsutsui da e SOUZA, Vinícius Mourão Alves de e BATISTA, Gustavo Enrique de Almeida Prado Alves. An open-source tool for classification models in resource-constrained hardware. IEEE Sensors Journal, v. 22, n. Ja 2022, p. 544-554, 2022Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2021.3128130. Acesso em: 10 out. 2024.
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      Silva, L. T. da, Souza, V. M. A. de, & Batista, G. E. de A. P. A. (2022). An open-source tool for classification models in resource-constrained hardware. IEEE Sensors Journal, 22( Ja 2022), 544-554. doi:10.1109/JSEN.2021.3128130
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      Silva LT da, Souza VMA de, Batista GE de APA. An open-source tool for classification models in resource-constrained hardware [Internet]. IEEE Sensors Journal. 2022 ; 22( Ja 2022): 544-554.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2021.3128130
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      Silva LT da, Souza VMA de, Batista GE de APA. An open-source tool for classification models in resource-constrained hardware [Internet]. IEEE Sensors Journal. 2022 ; 22( Ja 2022): 544-554.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2021.3128130
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: COMPOSTOS ORGÂNICOS, GASES, SENSOR, ENGENHARIA ELÉTRICA

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      COSTA, João Paulo de Campos da et al. Graphite-based multi-analyte VOC gas detection on multichannel PCB IDE sensor. IEEE Sensors Journal, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2022.3210007. Acesso em: 10 out. 2024.
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      Costa, J. P. de C. da, Cichetto Júnior, L., Paiva, E., Arantes, A. N., Longo, E., Chiquito, A. J., & Carmo, J. P. P. do. (2022). Graphite-based multi-analyte VOC gas detection on multichannel PCB IDE sensor. IEEE Sensors Journal, 1-8. doi:10.1109/JSEN.2022.3210007
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      Costa JP de C da, Cichetto Júnior L, Paiva E, Arantes AN, Longo E, Chiquito AJ, Carmo JPP do. Graphite-based multi-analyte VOC gas detection on multichannel PCB IDE sensor [Internet]. IEEE Sensors Journal. 2022 ; 1-8.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2022.3210007
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      Costa JP de C da, Cichetto Júnior L, Paiva E, Arantes AN, Longo E, Chiquito AJ, Carmo JPP do. Graphite-based multi-analyte VOC gas detection on multichannel PCB IDE sensor [Internet]. IEEE Sensors Journal. 2022 ; 1-8.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2022.3210007
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: CRÂNIO, TECNOLOGIAS DA SAÚDE, SENSOR, NANOTECNOLOGIA, ENGENHARIA ELÉTRICA

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      ANDRADE, Rodrigo de Albuquerque Pacheco et al. A nanometer resolution wearable wireless medical device for non invasive intracranial pressure monitoring. IEEE Sensors Journal, v. 21, n. 20, p. 22270-22284, 2021Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2021.3090648. Acesso em: 10 out. 2024.
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      Andrade, R. de A. P., Oshiro, H. E., Miyazaki, C. K., Hayashi, C. Y., Morais, M. A. de, Brunelli, R., & Carmo, J. P. P. do. (2021). A nanometer resolution wearable wireless medical device for non invasive intracranial pressure monitoring. IEEE Sensors Journal, 21( 20), 22270-22284. doi:10.1109/JSEN.2021.3090648
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      Andrade R de AP, Oshiro HE, Miyazaki CK, Hayashi CY, Morais MA de, Brunelli R, Carmo JPP do. A nanometer resolution wearable wireless medical device for non invasive intracranial pressure monitoring [Internet]. IEEE Sensors Journal. 2021 ; 21( 20): 22270-22284.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2021.3090648
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      Andrade R de AP, Oshiro HE, Miyazaki CK, Hayashi CY, Morais MA de, Brunelli R, Carmo JPP do. A nanometer resolution wearable wireless medical device for non invasive intracranial pressure monitoring [Internet]. IEEE Sensors Journal. 2021 ; 21( 20): 22270-22284.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2021.3090648
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: ENGENHARIA ELÉTRICA, SENSORES QUÍMICOS

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      SOUZA, Mateus Isaac de Oliveira et al. Multi-purpose microwave biosensor based on signal encoding technique and microfluidics for improved sensitivity. IEEE Sensors Journal, v. 21, n. 4, p. 4571-4581, 2021Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2020.3033970. Acesso em: 10 out. 2024.
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      Souza, M. I. de O., Mota, A. F. da, Pepino, V. M., Carmo, J. P. P. do, & Borges, B. -H. V. (2021). Multi-purpose microwave biosensor based on signal encoding technique and microfluidics for improved sensitivity. IEEE Sensors Journal, 21( 4), 4571-4581. doi:10.1109/JSEN.2020.3033970
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      Souza MI de O, Mota AF da, Pepino VM, Carmo JPP do, Borges B-HV. Multi-purpose microwave biosensor based on signal encoding technique and microfluidics for improved sensitivity [Internet]. IEEE Sensors Journal. 2021 ; 21( 4): 4571-4581.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.3033970
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      Souza MI de O, Mota AF da, Pepino VM, Carmo JPP do, Borges B-HV. Multi-purpose microwave biosensor based on signal encoding technique and microfluidics for improved sensitivity [Internet]. IEEE Sensors Journal. 2021 ; 21( 4): 4571-4581.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.3033970
  • Source: IEEE Sensors Journal. Unidade: IFSC

    Subjects: MATERIAIS, SEMICONDUTORES, SENSOR

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      MAHMOODNIA, Hedieh e SALEHI, Alireza e MASTELARO, Valmor Roberto. Enhancement of ammonia gas sensing properties of gaas-based schottky diodes using ammonium sulfide surface passivation. IEEE Sensors Journal, v. 21, n. 4, p. 4209-4215, 2021Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2020.3029953. Acesso em: 10 out. 2024.
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      Mahmoodnia, H., Salehi, A., & Mastelaro, V. R. (2021). Enhancement of ammonia gas sensing properties of gaas-based schottky diodes using ammonium sulfide surface passivation. IEEE Sensors Journal, 21( 4), 4209-4215. doi:10.1109/JSEN.2020.3029953
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      Mahmoodnia H, Salehi A, Mastelaro VR. Enhancement of ammonia gas sensing properties of gaas-based schottky diodes using ammonium sulfide surface passivation [Internet]. IEEE Sensors Journal. 2021 ; 21( 4): 4209-4215.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.3029953
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      Mahmoodnia H, Salehi A, Mastelaro VR. Enhancement of ammonia gas sensing properties of gaas-based schottky diodes using ammonium sulfide surface passivation [Internet]. IEEE Sensors Journal. 2021 ; 21( 4): 4209-4215.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.3029953
  • Source: IEEE Sensors Journal. Unidades: IFSC, EESC

    Subjects: IMPEDÂNCIA ELÉTRICA, SENSORES BIOMÉDICOS, MATERIAIS NANOESTRUTURADOS, APRENDIZADO COMPUTACIONAL

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      BUSCAGLIA, Lorenzo Antonio e OLIVEIRA JUNIOR, Osvaldo Novais de e CARMO, João Paulo Pereira do. Roadmap for electrical impedance spectroscopy for sensing: a tutorial. IEEE Sensors Journal, v. 21, n. 20, p. 22246-22257, 2021Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2021.3085237. Acesso em: 10 out. 2024.
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      Buscaglia, L. A., Oliveira Junior, O. N. de, & Carmo, J. P. P. do. (2021). Roadmap for electrical impedance spectroscopy for sensing: a tutorial. IEEE Sensors Journal, 21( 20), 22246-22257. doi:10.1109/JSEN.2021.3085237
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      Buscaglia LA, Oliveira Junior ON de, Carmo JPP do. Roadmap for electrical impedance spectroscopy for sensing: a tutorial [Internet]. IEEE Sensors Journal. 2021 ; 21( 20): 22246-22257.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2021.3085237
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      Buscaglia LA, Oliveira Junior ON de, Carmo JPP do. Roadmap for electrical impedance spectroscopy for sensing: a tutorial [Internet]. IEEE Sensors Journal. 2021 ; 21( 20): 22246-22257.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2021.3085237
  • Source: IEEE Sensors Journal. Unidade: IFSC

    Subjects: FLUORESCÊNCIA, NANOPARTÍCULAS, SENSORES ÓPTICOS, POLÍMEROS (MATERIAIS)

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      ROCHA, Wilson Sérgio de Araújo et al. Curcumin nanocrystals as photodynamical sensor monitoring ultraviolet accelerated aging of HDPE. IEEE Sensors Journal, v. 20, n. Ja 2020, p. 155-161, 2020Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2019.2940982. Acesso em: 10 out. 2024.
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      Rocha, W. S. de A., Rodrigues, J. C. G., Queiroz, A. A. A. E. D., & Queiroz, A. A. A. de. (2020). Curcumin nanocrystals as photodynamical sensor monitoring ultraviolet accelerated aging of HDPE. IEEE Sensors Journal, 20( Ja 2020), 155-161. doi:10.1109/JSEN.2019.2940982
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      Rocha WS de A, Rodrigues JCG, Queiroz AAAED, Queiroz AAA de. Curcumin nanocrystals as photodynamical sensor monitoring ultraviolet accelerated aging of HDPE [Internet]. IEEE Sensors Journal. 2020 ; 20( Ja 2020): 155-161.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2019.2940982
    • Vancouver

      Rocha WS de A, Rodrigues JCG, Queiroz AAAED, Queiroz AAA de. Curcumin nanocrystals as photodynamical sensor monitoring ultraviolet accelerated aging of HDPE [Internet]. IEEE Sensors Journal. 2020 ; 20( Ja 2020): 155-161.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2019.2940982
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: ROBÓTICA, BIOMECÂNICA, MARCHA

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      PÉREZ IBARRA, Juan Carlos e SIQUEIRA, Adriano Almeida Gonçalves. Real-time identification of gait events in impaired subjects using a single-IMU foot-mounted device. IEEE Sensors Journal, v. 20, n. 5, p. 2616-2624, 2020Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2019.2951923. Acesso em: 10 out. 2024.
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      Pérez Ibarra, J. C., & Siqueira, A. A. G. (2020). Real-time identification of gait events in impaired subjects using a single-IMU foot-mounted device. IEEE Sensors Journal, 20( 5), 2616-2624. doi:10.1109/JSEN.2019.2951923
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      Pérez Ibarra JC, Siqueira AAG. Real-time identification of gait events in impaired subjects using a single-IMU foot-mounted device [Internet]. IEEE Sensors Journal. 2020 ; 20( 5): 2616-2624.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2019.2951923
    • Vancouver

      Pérez Ibarra JC, Siqueira AAG. Real-time identification of gait events in impaired subjects using a single-IMU foot-mounted device [Internet]. IEEE Sensors Journal. 2020 ; 20( 5): 2616-2624.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2019.2951923
  • Source: IEEE Sensors Journal. Unidade: IFSC

    Subjects: MATÉRIA CONDENSADA, FOTOLUMINESCÊNCIA

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      BRAGA, Osvaldo M. et al. Surface passivation of InGaAs/InP p-i-n photodiodes using epitaxial regrowth of InP. IEEE Sensors Journal, v. 20, n. 16, p. 9234-9244, 2020Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2020.2987006. Acesso em: 10 out. 2024.
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      Braga, O. M., Delfino, C. A., Kawabata, R. M. S., Pinto, L. D., Vieira, G. S., Pires, M. P., et al. (2020). Surface passivation of InGaAs/InP p-i-n photodiodes using epitaxial regrowth of InP. IEEE Sensors Journal, 20( 16), 9234-9244. doi:10.1109/JSEN.2020.2987006
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      Braga OM, Delfino CA, Kawabata RMS, Pinto LD, Vieira GS, Pires MP, Souza PL de, Marega Junior E, Carlin JA, Krishna S. Surface passivation of InGaAs/InP p-i-n photodiodes using epitaxial regrowth of InP [Internet]. IEEE Sensors Journal. 2020 ; 20( 16): 9234-9244.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.2987006
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      Braga OM, Delfino CA, Kawabata RMS, Pinto LD, Vieira GS, Pires MP, Souza PL de, Marega Junior E, Carlin JA, Krishna S. Surface passivation of InGaAs/InP p-i-n photodiodes using epitaxial regrowth of InP [Internet]. IEEE Sensors Journal. 2020 ; 20( 16): 9234-9244.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.2987006
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: SENSOR, FILTROS DE KALMAN, ENGENHARIA ELÉTRICA

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      NARASIMHAPPA, Mundla et al. MEMS-based IMU drift minimization: sage husa adaptive robust Kalman filtering. IEEE Sensors Journal, v. 20, n. 1, p. 250-260, 2020Tradução . . Disponível em: http://dx.doi.org/10.1109/JSEN.2019.2941273. Acesso em: 10 out. 2024.
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      Narasimhappa, M., Mahindrakar, A. D., Guizilini, V. C., Terra, M. H., & Sabat, S. L. (2020). MEMS-based IMU drift minimization: sage husa adaptive robust Kalman filtering. IEEE Sensors Journal, 20( 1), 250-260. doi:10.1109/JSEN.2019.2941273
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      Narasimhappa M, Mahindrakar AD, Guizilini VC, Terra MH, Sabat SL. MEMS-based IMU drift minimization: sage husa adaptive robust Kalman filtering [Internet]. IEEE Sensors Journal. 2020 ; 20( 1): 250-260.[citado 2024 out. 10 ] Available from: http://dx.doi.org/10.1109/JSEN.2019.2941273
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      Narasimhappa M, Mahindrakar AD, Guizilini VC, Terra MH, Sabat SL. MEMS-based IMU drift minimization: sage husa adaptive robust Kalman filtering [Internet]. IEEE Sensors Journal. 2020 ; 20( 1): 250-260.[citado 2024 out. 10 ] Available from: http://dx.doi.org/10.1109/JSEN.2019.2941273
  • Source: IEEE Sensors Journal. Unidades: IFSC, EESC

    Subjects: WIRELESS, TERAPIA FOTODINÂMICA, TECNOLOGIA DE COMUNICAÇÕES, SENSORES BIOMÉDICOS, NEOPLASIAS, NANOTECNOLOGIA

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      GOUNELLA, Rodrigo Henrique et al. Wireless portable evaluation platform for photodynamic therapy: in vitro assays on human gastric adenocarcinoma cells. IEEE Sensors Journal, v. 20, n. 23, p. 13950-13958, 2020Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2020.2971444. Acesso em: 10 out. 2024.
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      Gounella, R. H., Leite, I. S., Inada, N. M., & Carmo, J. P. P. do. (2020). Wireless portable evaluation platform for photodynamic therapy: in vitro assays on human gastric adenocarcinoma cells. IEEE Sensors Journal, 20( 23), 13950-13958. doi:10.1109/JSEN.2020.2971444
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      Gounella RH, Leite IS, Inada NM, Carmo JPP do. Wireless portable evaluation platform for photodynamic therapy: in vitro assays on human gastric adenocarcinoma cells [Internet]. IEEE Sensors Journal. 2020 ; 20( 23): 13950-13958.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.2971444
    • Vancouver

      Gounella RH, Leite IS, Inada NM, Carmo JPP do. Wireless portable evaluation platform for photodynamic therapy: in vitro assays on human gastric adenocarcinoma cells [Internet]. IEEE Sensors Journal. 2020 ; 20( 23): 13950-13958.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.2971444
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: HEURÍSTICA, SENSOR, APRENDIZADO COMPUTACIONAL, MARCHA, ENGENHARIA MECÂNICA

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      PÉREZ IBARRA, Juan Carlos e SIQUEIRA, Adriano Almeida Gonçalves e KREBS, Hermano Igo. Identification of gait events in healthy and parkinson’s disease subjects using inertial sensors: a supervised learning approach. IEEE Sensors Journal, v. 20, n. 24, p. 14984-14993, 2020Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2020.3011627. Acesso em: 10 out. 2024.
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      Pérez Ibarra, J. C., Siqueira, A. A. G., & Krebs, H. I. (2020). Identification of gait events in healthy and parkinson’s disease subjects using inertial sensors: a supervised learning approach. IEEE Sensors Journal, 20( 24), 14984-14993. doi:10.1109/JSEN.2020.3011627
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      Pérez Ibarra JC, Siqueira AAG, Krebs HI. Identification of gait events in healthy and parkinson’s disease subjects using inertial sensors: a supervised learning approach [Internet]. IEEE Sensors Journal. 2020 ; 20( 24): 14984-14993.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.3011627
    • Vancouver

      Pérez Ibarra JC, Siqueira AAG, Krebs HI. Identification of gait events in healthy and parkinson’s disease subjects using inertial sensors: a supervised learning approach [Internet]. IEEE Sensors Journal. 2020 ; 20( 24): 14984-14993.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2020.3011627
  • Source: IEEE Sensors Journal. Unidade: IFSC

    Subjects: SENSORES BIOMÉDICOS, BIOMARCADORES, NEOPLASIAS, NANOTECNOLOGIA

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      ANDRADE, Mariana A. et al. A nanomechanical genosensor using functionalized cantilevers to detect the cancer biomarkers miRNA-203 and miRNA-205. IEEE Sensors Journal, v. 20, n. 6, p. 2860-2867, 2020Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2019.2948506. Acesso em: 10 out. 2024.
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      Andrade, M. A., Rodrigues, L. F., Ierich, J. C. M., Melendez, M. E., Carvalho, A. L., Carvalho, A. C., et al. (2020). A nanomechanical genosensor using functionalized cantilevers to detect the cancer biomarkers miRNA-203 and miRNA-205. IEEE Sensors Journal, 20( 6), 2860-2867. doi:10.1109/JSEN.2019.2948506
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      Andrade MA, Rodrigues LF, Ierich JCM, Melendez ME, Carvalho AL, Carvalho AC, Steffens C, Abdalla FC, Oliveira Junior ON de, Leite FL. A nanomechanical genosensor using functionalized cantilevers to detect the cancer biomarkers miRNA-203 and miRNA-205 [Internet]. IEEE Sensors Journal. 2020 ; 20( 6): 2860-2867.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2019.2948506
    • Vancouver

      Andrade MA, Rodrigues LF, Ierich JCM, Melendez ME, Carvalho AL, Carvalho AC, Steffens C, Abdalla FC, Oliveira Junior ON de, Leite FL. A nanomechanical genosensor using functionalized cantilevers to detect the cancer biomarkers miRNA-203 and miRNA-205 [Internet]. IEEE Sensors Journal. 2020 ; 20( 6): 2860-2867.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2019.2948506

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