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  • 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: 08 set. 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 set. 08 ] 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 set. 08 ] Available from: https://dx.doi.org/10.1109/JSEN.2023.3312039
  • 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: 08 set. 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 set. 08 ] 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 set. 08 ] 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: 08 set. 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 set. 08 ] 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 set. 08 ] 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: 08 set. 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 set. 08 ] 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 set. 08 ] Available from: https://doi.org/10.1109/JSEN.2021.3090648
  • 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: 08 set. 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 set. 08 ] 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 set. 08 ] Available from: https://doi.org/10.1109/JSEN.2020.3029953
  • 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: 08 set. 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 set. 08 ] 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 set. 08 ] Available from: http://dx.doi.org/10.1109/JSEN.2019.2941273
  • 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: 08 set. 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 set. 08 ] Available from: https://doi.org/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 set. 08 ] Available from: https://doi.org/10.1109/JSEN.2020.3011627
  • Source: IEEE Sensors Journal. Unidades: FZEA, IFSC

    Subjects: SENSOR, FILMES FINOS, NANOPARTÍCULAS

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      SOUSA, Marcos A. M. et al. Determining the optimized layer-by-layer film architecture with dendrimer/carbon nanotubes for field-effect sensors. IEEE Sensors Journal, v. 17, n. 6, p. 1735-1740, 2017Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2017.2653238. Acesso em: 08 set. 2024.
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      Sousa, M. A. M., Siqueira Junior, J. R., Vercik, A., Schöning, M. J., & Oliveira Junior, O. N. de. (2017). Determining the optimized layer-by-layer film architecture with dendrimer/carbon nanotubes for field-effect sensors. IEEE Sensors Journal, 17( 6), 1735-1740. doi:10.1109/JSEN.2017.2653238
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      Sousa MAM, Siqueira Junior JR, Vercik A, Schöning MJ, Oliveira Junior ON de. Determining the optimized layer-by-layer film architecture with dendrimer/carbon nanotubes for field-effect sensors [Internet]. IEEE Sensors Journal. 2017 ; 17( 6): 1735-1740.[citado 2024 set. 08 ] Available from: https://doi.org/10.1109/JSEN.2017.2653238
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      Sousa MAM, Siqueira Junior JR, Vercik A, Schöning MJ, Oliveira Junior ON de. Determining the optimized layer-by-layer film architecture with dendrimer/carbon nanotubes for field-effect sensors [Internet]. IEEE Sensors Journal. 2017 ; 17( 6): 1735-1740.[citado 2024 set. 08 ] Available from: https://doi.org/10.1109/JSEN.2017.2653238
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: LUMINESCÊNCIA, SENSOR, FIBRA ÓPTICA, SEMICONDUTORES, MATERIAIS NANOESTRUTURADOS

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      BOZOLAN, Alexandre et al. Temperature sensing using colloidal-core photonic crystal fiber. IEEE Sensors Journal, v. 12, n. Ja 2012, p. 195-200, 2012Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2011.2146771. Acesso em: 08 set. 2024.
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      Bozolan, A., Gerosa, R. M., Matos, C. J. S. de, & Romero, M. A. (2012). Temperature sensing using colloidal-core photonic crystal fiber. IEEE Sensors Journal, 12( Ja 2012), 195-200. doi:10.1109/JSEN.2011.2146771
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      Bozolan A, Gerosa RM, Matos CJS de, Romero MA. Temperature sensing using colloidal-core photonic crystal fiber [Internet]. IEEE Sensors Journal. 2012 ; 12( Ja 2012): 195-200.[citado 2024 set. 08 ] Available from: https://doi.org/10.1109/JSEN.2011.2146771
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      Bozolan A, Gerosa RM, Matos CJS de, Romero MA. Temperature sensing using colloidal-core photonic crystal fiber [Internet]. IEEE Sensors Journal. 2012 ; 12( Ja 2012): 195-200.[citado 2024 set. 08 ] Available from: https://doi.org/10.1109/JSEN.2011.2146771
  • Source: IEEE Sensors Journal. Unidade: IFSC

    Subjects: NANOTECNOLOGIA, SENSOR, FILMES FINOS, ESPECTROSCOPIA

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      GASPARYAN, Ferdinand V. et al. Low-frequency noise in field-effect devices functionalized with dendrimer/carbon-nanotube multilayers. IEEE Sensors Journal, v. 11, n. Ja 2011, p. 142-149, 2011Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2010.2052355. Acesso em: 08 set. 2024.
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      Gasparyan, F. V., Poghossian, A., Vitusevich, S. A., Petrychuk, M. V., Sydoruk, V. A., Siqueira Junior, J. R., et al. (2011). Low-frequency noise in field-effect devices functionalized with dendrimer/carbon-nanotube multilayers. IEEE Sensors Journal, 11( Ja 2011), 142-149. doi:10.1109/JSEN.2010.2052355
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      Gasparyan FV, Poghossian A, Vitusevich SA, Petrychuk MV, Sydoruk VA, Siqueira Junior JR, Oliveira Junior ON de, Offenhausser A, Schoning MJ. Low-frequency noise in field-effect devices functionalized with dendrimer/carbon-nanotube multilayers [Internet]. IEEE Sensors Journal. 2011 ; 11( Ja 2011): 142-149.[citado 2024 set. 08 ] Available from: https://doi.org/10.1109/JSEN.2010.2052355
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      Gasparyan FV, Poghossian A, Vitusevich SA, Petrychuk MV, Sydoruk VA, Siqueira Junior JR, Oliveira Junior ON de, Offenhausser A, Schoning MJ. Low-frequency noise in field-effect devices functionalized with dendrimer/carbon-nanotube multilayers [Internet]. IEEE Sensors Journal. 2011 ; 11( Ja 2011): 142-149.[citado 2024 set. 08 ] Available from: https://doi.org/10.1109/JSEN.2010.2052355

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