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  • 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
    • Vancouver

      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. 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
    • Vancouver

      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: 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
    • Vancouver

      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: 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: EESC

    Subjects: SENSORES ÓPTICOS, ROBÔS, FIBRA ÓPTICA

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      LEAL-JUNIOR, Arnaldo et al. Polymer optical fiber sensors in wearable devices: toward novel instrumentation approaches for gait assistance devices. IEEE Sensors Journal, v. 18, n. 17, p. Se 2018, 2018Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2018.2852363. Acesso em: 10 out. 2024.
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      Leal-Junior, A., Frizera Neto, A., Vargas-Valencia, L., Santos, W. M. dos, Bó, A. P. L., Siqueira, A. A. G., & Pontes, M. J. (2018). Polymer optical fiber sensors in wearable devices: toward novel instrumentation approaches for gait assistance devices. IEEE Sensors Journal, 18( 17), Se 2018. doi:10.1109/JSEN.2018.2852363
    • NLM

      Leal-Junior A, Frizera Neto A, Vargas-Valencia L, Santos WM dos, Bó APL, Siqueira AAG, Pontes MJ. Polymer optical fiber sensors in wearable devices: toward novel instrumentation approaches for gait assistance devices [Internet]. IEEE Sensors Journal. 2018 ; 18( 17): Se 2018.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2018.2852363
    • Vancouver

      Leal-Junior A, Frizera Neto A, Vargas-Valencia L, Santos WM dos, Bó APL, Siqueira AAG, Pontes MJ. Polymer optical fiber sensors in wearable devices: toward novel instrumentation approaches for gait assistance devices [Internet]. IEEE Sensors Journal. 2018 ; 18( 17): Se 2018.[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/JSEN.2018.2852363

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