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Artigo de periodico
Machine learning-based ultrasonic sensing of glycerol in direct fuel cells (2026)
Ginja,^Gabriel^Augusto ; Queiroz, Alvaro Antonio Alencar de ; Carmo, João Paulo Pereira do
Source: IEEE Sensors Journal. Unidade: EESC
Subjects: CÉLULAS A COMBUSTÍVEL, APRENDIZADO COMPUTACIONAL, PIEZOELETRICIDADE, ENGENHARIA ELÉTRICA
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GINJA, ^Gabriel^Augusto e QUEIROZ, Alvaro Antonio Alencar de e CARMO, João Paulo Pereira do. Machine learning-based ultrasonic sensing of glycerol in direct fuel cells. IEEE Sensors Journal, v. 26, n. 2, p. 1761-1768, 2026Tradução . . Disponível em: https://dx.doi.org/10.1109/JSEN.2025.3638022. Acesso em: 23 fev. 2026.
APA
Ginja, ^G. ^A., Queiroz, A. A. A. de, & Carmo, J. P. P. do. (2026). Machine learning-based ultrasonic sensing of glycerol in direct fuel cells. IEEE Sensors Journal, 26( 2), 1761-1768. doi:10.1109/JSEN.2025.3638022
NLM
Ginja ^G^A, Queiroz AAA de, Carmo JPP do. Machine learning-based ultrasonic sensing of glycerol in direct fuel cells [Internet]. IEEE Sensors Journal. 2026 ; 26( 2): 1761-1768.[citado 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2025.3638022
Vancouver
Ginja ^G^A, Queiroz AAA de, Carmo JPP do. Machine learning-based ultrasonic sensing of glycerol in direct fuel cells [Internet]. IEEE Sensors Journal. 2026 ; 26( 2): 1761-1768.[citado 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2025.3638022
Artigo de periodico
Electromechanical characterization and experimental sensor modeling of thermoformed FEP piezoelectrets for dynamic force environments (2025)
Ginja,^Gabriel^Augusto ; Carpena Neto, Mateus; Moreira, Melkzedekue de Moraes Alcântara Calabrese; Amorim, Márcio Luís Munhoz; Tita, Volnei ; Altafim, Ruy Alberto Pisani; Altafim, Ruy Alberto Corrêa ; Correia, Miguel Velhote; Queiroz, Alvaro Antonio Alencar de ; Siqueira, Adriano Almeida Gonçalves ; Carmo, João Paulo Pereira do
Source: IEEE Sensors Journal. Unidade: EESC
Assunto: ENGENHARIA ELÉTRICA
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GINJA, ^Gabriel^Augusto et al. Electromechanical characterization and experimental sensor modeling of thermoformed FEP piezoelectrets for dynamic force environments. IEEE Sensors Journal, v. 25, n. 15, p. 28110-28118, 2025Tradução . . Disponível em: https://dx.doi.org/10.1109/JSEN.2025.3581027. Acesso em: 23 fev. 2026.
APA
Ginja, ^G. ^A., Carpena Neto, M., Moreira, M. de M. A. C., Amorim, M. L. M., Tita, V., Altafim, R. A. P., et al. (2025). Electromechanical characterization and experimental sensor modeling of thermoformed FEP piezoelectrets for dynamic force environments. IEEE Sensors Journal, 25( 15), 28110-28118. doi:10.1109/JSEN.2025.3581027
NLM
Ginja ^G^A, Carpena Neto M, Moreira M de MAC, Amorim MLM, Tita V, Altafim RAP, Altafim RAC, Correia MV, Queiroz AAA de, Siqueira AAG, Carmo JPP do. Electromechanical characterization and experimental sensor modeling of thermoformed FEP piezoelectrets for dynamic force environments [Internet]. IEEE Sensors Journal. 2025 ; 25( 15): 28110-28118.[citado 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2025.3581027
Vancouver
Ginja ^G^A, Carpena Neto M, Moreira M de MAC, Amorim MLM, Tita V, Altafim RAP, Altafim RAC, Correia MV, Queiroz AAA de, Siqueira AAG, Carmo JPP do. Electromechanical characterization and experimental sensor modeling of thermoformed FEP piezoelectrets for dynamic force environments [Internet]. IEEE Sensors Journal. 2025 ; 25( 15): 28110-28118.[citado 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2025.3581027
Artigo de periodico
Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water (2025)
Souza, Mateus Isaac de Oliveira ; Santos, Natália Mariana dos ; Alarcon, Júlio Cesar Picolo ; Varanda, Laudemir Carlos ; Pepino, Vinicius Marrara ; Borges, Ben-Hur Viana
Source: IEEE Sensors Journal. Unidades: EESC, IQSC
Subjects: PLASMA, GLICOSE, DIELÉTRICOS, TECNOLOGIA DE MICRO-ONDAS, ENGENHARIA ELÉTRICA
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SOUZA, Mateus Isaac de Oliveira et al. Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water. IEEE Sensors Journal, v. 25, n. 3, p. 4529-4540, 2025Tradução . . Disponível em: http://dx.doi.org/10.1109/JSEN.2024.3516571. Acesso em: 23 fev. 2026.
APA
Souza, M. I. de O., Santos, N. M. dos, Alarcon, J. C. P., Varanda, L. C., Pepino, V. M., & Borges, B. -H. V. (2025). Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water. IEEE Sensors Journal, 25( 3), 4529-4540. doi:10.1109/JSEN.2024.3516571
NLM
Souza MI de O, Santos NM dos, Alarcon JCP, Varanda LC, Pepino VM, Borges B-HV. Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water [Internet]. IEEE Sensors Journal. 2025 ; 25( 3): 4529-4540.[citado 2026 fev. 23 ] Available from: http://dx.doi.org/10.1109/JSEN.2024.3516571
Vancouver
Souza MI de O, Santos NM dos, Alarcon JCP, Varanda LC, Pepino VM, Borges B-HV. Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water [Internet]. IEEE Sensors Journal. 2025 ; 25( 3): 4529-4540.[citado 2026 fev. 23 ] Available from: http://dx.doi.org/10.1109/JSEN.2024.3516571
Artigo de periodico
A microwave sensor based on concentric split-ring resonators for blood urea detection: A novel tool for chronic kidney disease diagnosis (2025)
Souza, Mateus Isaac de Oliveira ; Santos, Natália Mariana dos ; Varanda, Laudemir Carlos ; Pepino, Vinicius Marrara ; Borges, Ben-Hur Viana
Source: IEEE Sensors Journal. Unidades: EESC, IQSC
Subjects: DOENÇAS, UREIA
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SOUZA, Mateus Isaac de Oliveira et al. A microwave sensor based on concentric split-ring resonators for blood urea detection: A novel tool for chronic kidney disease diagnosis. IEEE Sensors Journal, v. 25, n. 13, p. 24173-24180, 2025Tradução . . Disponível em: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11008467. Acesso em: 23 fev. 2026.
APA
Souza, M. I. de O., Santos, N. M. dos, Varanda, L. C., Pepino, V. M., & Borges, B. -H. V. (2025). A microwave sensor based on concentric split-ring resonators for blood urea detection: A novel tool for chronic kidney disease diagnosis. IEEE Sensors Journal, 25( 13), 24173-24180. doi:10.1109/JSEN.2025.3570067
NLM
Souza MI de O, Santos NM dos, Varanda LC, Pepino VM, Borges B-HV. A microwave sensor based on concentric split-ring resonators for blood urea detection: A novel tool for chronic kidney disease diagnosis [Internet]. IEEE Sensors Journal. 2025 ; 25( 13): 24173-24180.[citado 2026 fev. 23 ] Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11008467
Vancouver
Souza MI de O, Santos NM dos, Varanda LC, Pepino VM, Borges B-HV. A microwave sensor based on concentric split-ring resonators for blood urea detection: A novel tool for chronic kidney disease diagnosis [Internet]. IEEE Sensors Journal. 2025 ; 25( 13): 24173-24180.[citado 2026 fev. 23 ] Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11008467
Artigo de periodico
Classification and characterization of LoRaWAN energy depletion attacks: a review (2025)
Proto, André; Miers, Charles Christian; Carvalho, Tereza Cristina Melo de Brito
Source: IEEE Sensors Journal. Unidade: EP
Subjects: INTERNET DAS COISAS, SERVIDORES DE REDE, SENSOR
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PROTO, André e MIERS, Charles Christian e CARVALHO, Tereza Cristina Melo de Brito. Classification and characterization of LoRaWAN energy depletion attacks: a review. IEEE Sensors Journal, v. 25, n. Ja 2025, p. 2141-2156, 2025Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2024.3504259. Acesso em: 23 fev. 2026.
APA
Proto, A., Miers, C. C., & Carvalho, T. C. M. de B. (2025). Classification and characterization of LoRaWAN energy depletion attacks: a review. IEEE Sensors Journal, 25( Ja 2025), 2141-2156. doi:10.1109/JSEN.2024.3504259
NLM
Proto A, Miers CC, Carvalho TCM de B. Classification and characterization of LoRaWAN energy depletion attacks: a review [Internet]. IEEE Sensors Journal. 2025 ; 25( Ja 2025): 2141-2156.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2024.3504259
Vancouver
Proto A, Miers CC, Carvalho TCM de B. Classification and characterization of LoRaWAN energy depletion attacks: a review [Internet]. IEEE Sensors Journal. 2025 ; 25( Ja 2025): 2141-2156.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2024.3504259
Artigo de periodico
Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks (2024)
Alarcon, Júlio Cesar Picolo; Souza, Mateus Isaac de Oliveira; Pepino, Vinicius Marrara ; Borges, Ben-Hur Viana
Source: IEEE Sensors Journal. Unidade: EESC
Assunto: ENGENHARIA ELÉTRICA
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ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] Available from: https://dx.doi.org/ 10.1109/JSEN.2024.3448221
Vancouver
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 2026 fev. 23 ] Available from: https://dx.doi.org/ 10.1109/JSEN.2024.3448221
Artigo de periodico
Current transducer based on thermoformed piezo-magnetic-electrets (2024)
Santos, Amélia Moreira; Moreira, Rui A.; Silveira, Tagleorge M.; Altafim, Ruy Alberto Pisani; Silva, Elvio P.; Santos, Polyane A.; Lima, Ronaldo M.; Altafim, Ruy Alberto Corrêa
Source: IEEE Sensors Journal. Unidade: EESC
Subjects: ELETRETOS, POLÍMEROS (MATERIAIS), PIEZOELETRICIDADE, ENGENHARIA ELÉTRICA
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SANTOS, Amélia Moreira et al. Current transducer based on thermoformed piezo-magnetic-electrets. IEEE Sensors Journal, p. 1-8, 2024Tradução . . Disponível em: https://dx.doi.org/10.1109/JSEN.2024.3431990. Acesso em: 23 fev. 2026.
APA
Santos, A. M., Moreira, R. A., Silveira, T. M., Altafim, R. A. P., Silva, E. P., Santos, P. A., et al. (2024). Current transducer based on thermoformed piezo-magnetic-electrets. IEEE Sensors Journal, 1-8. doi:10.1109/JSEN.2024.3431990
NLM
Santos AM, Moreira RA, Silveira TM, Altafim RAP, Silva EP, Santos PA, Lima RM, Altafim RAC. Current transducer based on thermoformed piezo-magnetic-electrets [Internet]. IEEE Sensors Journal. 2024 ; 1-8.[citado 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2024.3431990
Vancouver
Santos AM, Moreira RA, Silveira TM, Altafim RAP, Silva EP, Santos PA, Lima RM, Altafim RAC. Current transducer based on thermoformed piezo-magnetic-electrets [Internet]. IEEE Sensors Journal. 2024 ; 1-8.[citado 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2024.3431990
Artigo de periodico
Identification and quantification of common adulterants in extra virgin olive oil using microwave dielectric spectroscopy aided by feedforward neural networks (2024)
Alarcon, Julio C. P.; Souza, Mateus Isaac de Oliveira; Pepino, Vinicius Marrara ; Borges, Ben-Hur Viana
Source: IEEE Sensors Journal. Unidade: EESC
Subjects: REDES NEURAIS, ESPECTROSCOPIA, APRENDIZADO COMPUTACIONAL, AZEITE, ENGENHARIA ELÉTRICA
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ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] Available from: http://dx.doi.org/10.1109/JSEN.2024.3448221
Vancouver
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 2026 fev. 23 ] Available from: http://dx.doi.org/10.1109/JSEN.2024.3448221
Artigo de periodico
Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water (2024)
Souza, Mateus Isaac de Oliveira ; Santos, Natália Mariana dos ; Alarcon, Júlio Cesar Picolo ; Varanda, Laudemir Carlos ; Pepino, Vinicius Marrara ; Borges, Ben-Hur Viana
Source: IEEE Sensors Journal. Unidades: EESC, IQSC
Subjects: PLASMA, GLICOSE, DIELÉTRICOS, TECNOLOGIA DE MICRO-ONDAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Mateus Isaac de Oliveira et al. Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water. IEEE Sensors Journal, 2024Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/fdbec14a-170e-4ae0-9edc-854f63fde003/Microwave_Glucose_Sensing_Using_Double_Circular_Split_Ring_Resonators_for_Improved_Sensitivity_The_Role_of_Artificial_Blood_Plasma_and_Deionized_Water.pdf. Acesso em: 23 fev. 2026.
APA
Souza, M. I. de O., Santos, N. M. dos, Alarcon, J. C. P., Varanda, L. C., Pepino, V. M., & Borges, B. -H. V. (2024). Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water. IEEE Sensors Journal. doi:10.1109/JSEN.2024.3516571
NLM
Souza MI de O, Santos NM dos, Alarcon JCP, Varanda LC, Pepino VM, Borges B-HV. Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water [Internet]. IEEE Sensors Journal. 2024 ;[citado 2026 fev. 23 ] Available from: https://repositorio.usp.br/directbitstream/fdbec14a-170e-4ae0-9edc-854f63fde003/Microwave_Glucose_Sensing_Using_Double_Circular_Split_Ring_Resonators_for_Improved_Sensitivity_The_Role_of_Artificial_Blood_Plasma_and_Deionized_Water.pdf
Vancouver
Souza MI de O, Santos NM dos, Alarcon JCP, Varanda LC, Pepino VM, Borges B-HV. Microwave glucose sensing using double circular split ring resonators for improved sensitivity: the role of artificial blood plasma and deionized water [Internet]. IEEE Sensors Journal. 2024 ;[citado 2026 fev. 23 ] Available from: https://repositorio.usp.br/directbitstream/fdbec14a-170e-4ae0-9edc-854f63fde003/Microwave_Glucose_Sensing_Using_Double_Circular_Split_Ring_Resonators_for_Improved_Sensitivity_The_Role_of_Artificial_Blood_Plasma_and_Deionized_Water.pdf
Artigo de periodico
LUFT: a low-frequency ultrasound tomography system designed for lung imaging (2024)
Pigatto, Andre Vieira ; Rosa, Nilton Barbosa da; Furuie, Sérgio Shiguemi ; Mueller, Jennifer Lynn
Source: IEEE Sensors Journal. Unidade: EP
Subjects: ULTRASSOM, TOMOGRAFIA
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ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2024.3359634
Vancouver
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2024.3359634
Artigo de periodico
A humidity sensor based on bacterial nanocellulose membrane (BNC) (2023)
Ginja,^Gabriel^Augusto; Costa, João Paulo de Campos da; Gounella, Rodrigo Henrique; Eirez Izquierdo, José Enrique; Carmo, João Paulo Pereira do ; Fonseca, Fernando Josepetti ; Cavallari, Marco Roberto ; Ando Junior, Osvaldo Hideo; Souza, Samara Silva de
Source: IEEE Sensors Journal. Unidades: EESC, EP
Subjects: BIOMATERIAIS, FERMENTAÇÃO, BACTÉRIAS, CELULOSE, ENGENHARIA ELÉTRICA
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ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] 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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2023.3234222
Artigo de periodico
Simple-Z: a low-cost portable impedance analyzer (2023)
Buscaglia, Lorenzo Antonio ; Carmo, João Paulo Pereira do ; Oliveira Junior, Osvaldo Novais de
Source: IEEE Sensors Journal. Unidades: EESC, IFSC
Subjects: PROCESSAMENTO DE SINAIS, SENSOR, IMPEDÂNCIA ELÉTRICA, ENGENHARIA ELÉTRICA
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ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2023.3312039
Vancouver
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 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2023.3312039
Artigo de periodico
Capacitance, quality factor, and magnetic field influence on thermoformed magnetic-piezoelectret (2023)
Santos, Amélia Moreira; Moreira, Rui A.; Altafim, Ruy Alberto Pisani; Altafim, Ruy Alberto Corrêa
Source: IEEE Sensors Journal. Unidade: EESC
Subjects: POLÍMEROS (MATERIAIS), ELETRETOS, PIEZOELETRICIDADE, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Amélia Moreira et al. Capacitance, quality factor, and magnetic field influence on thermoformed magnetic-piezoelectret. IEEE Sensors Journal, p. 1-7, 2023Tradução . . Disponível em: https://dx.doi.org/10.1109/JSEN.2024.3393234. Acesso em: 23 fev. 2026.
APA
Santos, A. M., Moreira, R. A., Altafim, R. A. P., & Altafim, R. A. C. (2023). Capacitance, quality factor, and magnetic field influence on thermoformed magnetic-piezoelectret. IEEE Sensors Journal, 1-7. doi:10.1109/JSEN.2024.3393234
NLM
Santos AM, Moreira RA, Altafim RAP, Altafim RAC. Capacitance, quality factor, and magnetic field influence on thermoformed magnetic-piezoelectret [Internet]. IEEE Sensors Journal. 2023 ; 1-7.[citado 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2024.3393234
Vancouver
Santos AM, Moreira RA, Altafim RAP, Altafim RAC. Capacitance, quality factor, and magnetic field influence on thermoformed magnetic-piezoelectret [Internet]. IEEE Sensors Journal. 2023 ; 1-7.[citado 2026 fev. 23 ] Available from: https://dx.doi.org/10.1109/JSEN.2024.3393234
Artigo de periodico
An Approach to Wire-Wound Hall-Effect Based Current Sensor for Offset Reduction (2022)
Ranasingh, Soumyaranjan ; Pradhan, Tapan ; Raju, Dhenuvakonda Koteswara ; Singh, Arvind R. ; Piantini, Alexandre
Source: IEEE Sensors Journal. Unidade: IEE
Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, CAMPO MAGNÉTICO
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ABNT
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: 23 fev. 2026.
APA
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.
NLM
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 2026 fev. 23 ]
Vancouver
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 2026 fev. 23 ]
Artigo de periodico
Graphite-based multi-analyte VOC gas detection on multichannel PCB IDE sensor (2022)
Costa, João Paulo de Campos da; Cichetto Júnior, L; Paiva, E.; Arantes, A. N.; Longo, E.; Chiquito, A. J.; Carmo, João Paulo Pereira do
Source: IEEE Sensors Journal. Unidade: EESC
Subjects: COMPOSTOS ORGÂNICOS, GASES, SENSOR, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2022.3210007
Vancouver
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2022.3210007
Artigo de periodico
Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket (2022)
Garcia, Francisco A; Pérez Ibarra, Juan Carlos ; Terra, Marco Henrique ; Siqueira, Adriano Almeida Gonçalves
Source: IEEE Sensors Journal. Unidade: EESC
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, PROCESSOS DE MARKOV, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] 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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2022.3177951
Artigo de periodico
An open-source tool for classification models in resource-constrained hardware (2022)
Silva, Lucas Tsutsui da ; Souza, Vinícius Mourão Alves de ; Batista, Gustavo Enrique de Almeida Prado Alves
Source: IEEE Sensors Journal. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS EMBUTIDOS, RECONHECIMENTO DE PADRÕES, SENSOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2021.3128130
Vancouver
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2021.3128130
Artigo de periodico
Piezoelectrets: a brief introduction (2021)
Moreira, M. M. A. C.; Soares, I. N.; Assagra, Y. A. O.; Sousa, F. S. I.; Nordi, T. M.; Dourado, D. M.; Gounella, R. H.; Carmo, João Paulo Pereira do ; Altafim, Ruy Alberto Corrêa ; Altafim, R. A. P.
Source: IEEE Sensors Journal. Unidade: EESC
Subjects: ELETRETOS, PROCESSOS DE FABRICAÇÃO, IMPRESSÃO, TERCEIRA DIMENSÃO, PIEZOELETRICIDADE, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOREIRA, M. M. A. C. et al. Piezoelectrets: a brief introduction. IEEE Sensors Journal, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2021.3096424. Acesso em: 23 fev. 2026.
APA
Moreira, M. M. A. C., Soares, I. N., Assagra, Y. A. O., Sousa, F. S. I., Nordi, T. M., Dourado, D. M., et al. (2021). Piezoelectrets: a brief introduction. IEEE Sensors Journal, 1-12. doi:10.1109/JSEN.2021.3096424
NLM
Moreira MMAC, Soares IN, Assagra YAO, Sousa FSI, Nordi TM, Dourado DM, Gounella RH, Carmo JPP do, Altafim RAC, Altafim RAP. Piezoelectrets: a brief introduction [Internet]. IEEE Sensors Journal. 2021 ; 1-12.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2021.3096424
Vancouver
Moreira MMAC, Soares IN, Assagra YAO, Sousa FSI, Nordi TM, Dourado DM, Gounella RH, Carmo JPP do, Altafim RAC, Altafim RAP. Piezoelectrets: a brief introduction [Internet]. IEEE Sensors Journal. 2021 ; 1-12.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2021.3096424
Artigo de periodico
Roadmap for electrical impedance spectroscopy for sensing: a tutorial (2021)
Buscaglia, Lorenzo Antonio ; Oliveira Junior, Osvaldo Novais de ; Carmo, João Paulo Pereira do
Source: IEEE Sensors Journal. Unidades: IFSC, EESC
Subjects: IMPEDÂNCIA ELÉTRICA, SENSORES BIOMÉDICOS, MATERIAIS NANOESTRUTURADOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2021.3085237
Vancouver
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2021.3085237
Artigo de periodico
A nanometer resolution wearable wireless medical device for non invasive intracranial pressure monitoring (2021)
Andrade, Rodrigo de Albuquerque Pacheco; Oshiro, Helder Eiki; Miyazaki, Caio Kioshi; Hayashi, Cintya Yukie; Morais, Marcos Antonio de; Brunelli, Rodrigo; Carmo, João Paulo Pereira do
Source: IEEE Sensors Journal. Unidade: EESC
Subjects: CRÂNIO, TECNOLOGIAS DA SAÚDE, SENSOR, NANOTECNOLOGIA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 fev. 2026.
APA
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
NLM
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2021.3090648
Vancouver
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 2026 fev. 23 ] Available from: https://doi.org/10.1109/JSEN.2021.3090648

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