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Artigo de periodico
Evaluation of cluster algorithms for radar-based object recognition in autonomous and assisted driving (2024)
Ramos, Daniel Carvalho de ; Ferreira, Lucas Reksua ; Santos, Max Mauro Dias ; Teixeira, Evandro Leonardo Silva ; Yoshioka, Leopoldo Rideki ; Justo Filho, João Francisco ; Malik, Asad Waqar
Source: Sensors. Unidade: EP
Subjects: VEÍCULOS AUTÔNOMOS, RECONHECIMENTO DE OBJETOS
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ABNT
RAMOS, Daniel Carvalho de et al. Evaluation of cluster algorithms for radar-based object recognition in autonomous and assisted driving. Sensors, v. No 2024, n. 22, p. 1-31, 2024Tradução . . Disponível em: https://doi.org/10.3390/s24227219. Acesso em: 18 nov. 2025.
APA
Ramos, D. C. de, Ferreira, L. R., Santos, M. M. D., Teixeira, E. L. S., Yoshioka, L. R., Justo Filho, J. F., & Malik, A. W. (2024). Evaluation of cluster algorithms for radar-based object recognition in autonomous and assisted driving. Sensors, No 2024( 22), 1-31. doi:10.3390/s24227219
NLM
Ramos DC de, Ferreira LR, Santos MMD, Teixeira ELS, Yoshioka LR, Justo Filho JF, Malik AW. Evaluation of cluster algorithms for radar-based object recognition in autonomous and assisted driving [Internet]. Sensors. 2024 ; No 2024( 22): 1-31.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s24227219
Vancouver
Ramos DC de, Ferreira LR, Santos MMD, Teixeira ELS, Yoshioka LR, Justo Filho JF, Malik AW. Evaluation of cluster algorithms for radar-based object recognition in autonomous and assisted driving [Internet]. Sensors. 2024 ; No 2024( 22): 1-31.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s24227219
Artigo de periodico
Automatic calibration of microscopic traffic simulation models using artificial neural networks (2023)
Daguano, Rodrigo França ; Yoshioka, Leopoldo Rideki ; Netto, Marcio Lobo ; Marte, Cláudio Luiz ; Isler, Cassiano Augusto ; Santos, Max Mauro Dias dos; Justo Filho, João Francisco
Source: Sensors. Unidades: EP, EESC
Subjects: SIMULAÇÃO, TRANSPORTE URBANO, MOBILIDADE URBANA, REDES NEURAIS
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DAGUANO, Rodrigo França et al. Automatic calibration of microscopic traffic simulation models using artificial neural networks. Sensors, v. 23, n. 21, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.3390/s23218798. Acesso em: 18 nov. 2025.
APA
Daguano, R. F., Yoshioka, L. R., Netto, M. L., Marte, C. L., Isler, C. A., Santos, M. M. D. dos, & Justo Filho, J. F. (2023). Automatic calibration of microscopic traffic simulation models using artificial neural networks. Sensors, 23( 21), 1-23. doi:10.3390/s23218798
NLM
Daguano RF, Yoshioka LR, Netto ML, Marte CL, Isler CA, Santos MMD dos, Justo Filho JF. Automatic calibration of microscopic traffic simulation models using artificial neural networks [Internet]. Sensors. 2023 ; 23( 21): 1-23.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s23218798
Vancouver
Daguano RF, Yoshioka LR, Netto ML, Marte CL, Isler CA, Santos MMD dos, Justo Filho JF. Automatic calibration of microscopic traffic simulation models using artificial neural networks [Internet]. Sensors. 2023 ; 23( 21): 1-23.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s23218798
Artigo de periodico
Detection of water contaminants by organic transistors as gas sensors in a bottom-gate/bottom-contact cross-linked structure (2023)
Izquierdo, Jose Enrique Eirez ; Cavallari, Marco Roberto ; García, Dennis Cabrera ; Fonseca, Fernando Josepetti ; Quivy, Alain André
Source: Sensors. Unidades: EP, IF
Subjects: SEMICONDUTORES, FILMES FINOS, ESPECTROSCOPIA
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IZQUIERDO, Jose Enrique Eirez et al. Detection of water contaminants by organic transistors as gas sensors in a bottom-gate/bottom-contact cross-linked structure. Sensors, v. 23, n. 18, 2023Tradução . . Disponível em: https://doi.org/10.3390/s23187981. Acesso em: 18 nov. 2025.
APA
Izquierdo, J. E. E., Cavallari, M. R., García, D. C., Fonseca, F. J., & Quivy, A. A. (2023). Detection of water contaminants by organic transistors as gas sensors in a bottom-gate/bottom-contact cross-linked structure. Sensors, 23( 18). doi:10.3390/s23187981
NLM
Izquierdo JEE, Cavallari MR, García DC, Fonseca FJ, Quivy AA. Detection of water contaminants by organic transistors as gas sensors in a bottom-gate/bottom-contact cross-linked structure [Internet]. Sensors. 2023 ; 23( 18):[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s23187981
Vancouver
Izquierdo JEE, Cavallari MR, García DC, Fonseca FJ, Quivy AA. Detection of water contaminants by organic transistors as gas sensors in a bottom-gate/bottom-contact cross-linked structure [Internet]. Sensors. 2023 ; 23( 18):[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s23187981
Artigo de periodico
Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition (2022)
Escottá, Álvaro Teixeira; Beccaro, Wesley; Arjona Ramírez, Miguel
Source: Sensors. Unidade: EP
Subjects: REDES NEURAIS, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZAGEM PROFUNDA
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ESCOTTÁ, Álvaro Teixeira e BECCARO, Wesley e ARJONA RAMÍREZ, Miguel. Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition. Sensors, v. 22, n. 11, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22114226. Acesso em: 18 nov. 2025.
APA
Escottá, Á. T., Beccaro, W., & Arjona Ramírez, M. (2022). Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition. Sensors, 22( 11). doi:10.3390/s22114226
NLM
Escottá ÁT, Beccaro W, Arjona Ramírez M. Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition [Internet]. Sensors. 2022 ; 22( 11):[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22114226
Vancouver
Escottá ÁT, Beccaro W, Arjona Ramírez M. Evaluation of 1D and 2D deep convolutional neural networks for driving event recognition [Internet]. Sensors. 2022 ; 22( 11):[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22114226
Artigo de periodico
Real time water-in-oil emulsion size measurement in optofluidic channels (2022)
Schianti, Juliana de Novais; Abe, Igor Yamamoto; Carvalho, Daniel Orquiza de ; Alayo Chávez, Marco Isaías
Source: Sensors. Unidade: EP
Assunto: FIBRA ÓPTICA
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SCHIANTI, Juliana de Novais et al. Real time water-in-oil emulsion size measurement in optofluidic channels. Sensors, v. 22, n. 13, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22134999. Acesso em: 18 nov. 2025.
APA
Schianti, J. de N., Abe, I. Y., Carvalho, D. O. de, & Alayo Chávez, M. I. (2022). Real time water-in-oil emulsion size measurement in optofluidic channels. Sensors, 22( 13), 1-10. doi:10.3390/s22134999
NLM
Schianti J de N, Abe IY, Carvalho DO de, Alayo Chávez MI. Real time water-in-oil emulsion size measurement in optofluidic channels [Internet]. Sensors. 2022 ; 22( 13): 1-10.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22134999
Vancouver
Schianti J de N, Abe IY, Carvalho DO de, Alayo Chávez MI. Real time water-in-oil emulsion size measurement in optofluidic channels [Internet]. Sensors. 2022 ; 22( 13): 1-10.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22134999
Artigo de periodico
A microwave-based microfluidic cell detecting biosensor for biological quantification using the metallic nanowire-filled membrane technology (2022)
Shahri, Atena Amanati; Omidvar, Amir Hossein; Rehder, Gustavo Pamplona ; Serrano, Ariana Maria da Conceição Lacorte Caniato
Source: Sensors. Unidade: EP
Subjects: SENSORES BIOMÉDICOS, DISPOSITIVOS DE MICRO-ONDAS
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ABNT
SHAHRI, Atena Amanati et al. A microwave-based microfluidic cell detecting biosensor for biological quantification using the metallic nanowire-filled membrane technology. Sensors, v. 22, n. 9, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22093265. Acesso em: 18 nov. 2025.
APA
Shahri, A. A., Omidvar, A. H., Rehder, G. P., & Serrano, A. M. da C. L. C. (2022). A microwave-based microfluidic cell detecting biosensor for biological quantification using the metallic nanowire-filled membrane technology. Sensors, 22( 9), 1-13. doi:10.3390/s22093265
NLM
Shahri AA, Omidvar AH, Rehder GP, Serrano AM da CLC. A microwave-based microfluidic cell detecting biosensor for biological quantification using the metallic nanowire-filled membrane technology [Internet]. Sensors. 2022 ; 22( 9): 1-13.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22093265
Vancouver
Shahri AA, Omidvar AH, Rehder GP, Serrano AM da CLC. A microwave-based microfluidic cell detecting biosensor for biological quantification using the metallic nanowire-filled membrane technology [Internet]. Sensors. 2022 ; 22( 9): 1-13.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22093265
Artigo de periodico
A highly sensitive molecularly imprinted polymer (MIP)-coated microwave glucose sensor (2022)
Omidvar, Amir Hossein; Shahri, Atena Amanati; Serrano, Ariana Lacorte Caniato ; Gruber, Jonas ; Rehder, Gustavo Pamplona
Source: Sensors. Unidades: IQ, EP
Subjects: SENSORES QUÍMICOS, COMPOSTOS HETEROCÍCLICOS
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ABNT
OMIDVAR, Amir Hossein et al. A highly sensitive molecularly imprinted polymer (MIP)-coated microwave glucose sensor. Sensors, v. 22, n. 22, p. 1-15 art. 8648, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22228648. Acesso em: 18 nov. 2025.
APA
Omidvar, A. H., Shahri, A. A., Serrano, A. L. C., Gruber, J., & Rehder, G. P. (2022). A highly sensitive molecularly imprinted polymer (MIP)-coated microwave glucose sensor. Sensors, 22( 22), 1-15 art. 8648. doi:10.3390/s22228648
NLM
Omidvar AH, Shahri AA, Serrano ALC, Gruber J, Rehder GP. A highly sensitive molecularly imprinted polymer (MIP)-coated microwave glucose sensor [Internet]. Sensors. 2022 ; 22( 22): 1-15 art. 8648.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22228648
Vancouver
Omidvar AH, Shahri AA, Serrano ALC, Gruber J, Rehder GP. A highly sensitive molecularly imprinted polymer (MIP)-coated microwave glucose sensor [Internet]. Sensors. 2022 ; 22( 22): 1-15 art. 8648.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s22228648
Artigo de periodico
Enhanced routing algorithm based on reinforcement machine learning: a case of voIP service (2021)
Militani, Davi Ribeiro; Moraes, Hermes Pimenta de; Rosa, Renata Lopes; Zegarra Rodriguez, Demóstenes ; Arjona Ramírez, Miguel ; Wuttisittikulkij, Lunchakorn
Source: Sensors. Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, INSTRUÇÃO PROGRAMADA
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MILITANI, Davi Ribeiro et al. Enhanced routing algorithm based on reinforcement machine learning: a case of voIP service. Sensors, v. 21, n. 2, p. 504-536, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21020504. Acesso em: 18 nov. 2025.
APA
Militani, D. R., Moraes, H. P. de, Rosa, R. L., Zegarra Rodriguez, D., Arjona Ramírez, M., & Wuttisittikulkij, L. (2021). Enhanced routing algorithm based on reinforcement machine learning: a case of voIP service. Sensors, 21( 2), 504-536. doi:10.3390/s21020504
NLM
Militani DR, Moraes HP de, Rosa RL, Zegarra Rodriguez D, Arjona Ramírez M, Wuttisittikulkij L. Enhanced routing algorithm based on reinforcement machine learning: a case of voIP service [Internet]. Sensors. 2021 ;21( 2): 504-536.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s21020504
Vancouver
Militani DR, Moraes HP de, Rosa RL, Zegarra Rodriguez D, Arjona Ramírez M, Wuttisittikulkij L. Enhanced routing algorithm based on reinforcement machine learning: a case of voIP service [Internet]. Sensors. 2021 ;21( 2): 504-536.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s21020504
Artigo de periodico
Silver enhances hematite nanoparticles based ethanol sensor response and selectivity at room temperature (2021)
Osorio, Daniel Garcia ; Hidalgo Falla, Maria del Pilar ; Peres, Henrique Estanislau Maldonado ; Gonçalves, Josué Martins ; Araki, Koiti ; Segura, Sergio Garcia ; Picasso, Gino
Source: Sensors. Unidades: EP, IQ
Subjects: PRATA, ETANOL, NANOPARTÍCULAS, HEMATITA, COMPOSTOS ORGÂNICOS, SEMICONDUTORES
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OSORIO, Daniel Garcia et al. Silver enhances hematite nanoparticles based ethanol sensor response and selectivity at room temperature. Sensors, v. 21, p. 1-13 art. 440 : + Supplementary materials ( S1-S3), 2021Tradução . . Disponível em: https://doi.org/10.3390/s21020440. Acesso em: 18 nov. 2025.
APA
Osorio, D. G., Hidalgo Falla, M. del P., Peres, H. E. M., Gonçalves, J. M., Araki, K., Segura, S. G., & Picasso, G. (2021). Silver enhances hematite nanoparticles based ethanol sensor response and selectivity at room temperature. Sensors, 21, 1-13 art. 440 : + Supplementary materials ( S1-S3). doi:10.3390/s21020440
NLM
Osorio DG, Hidalgo Falla M del P, Peres HEM, Gonçalves JM, Araki K, Segura SG, Picasso G. Silver enhances hematite nanoparticles based ethanol sensor response and selectivity at room temperature [Internet]. Sensors. 2021 ; 21 1-13 art. 440 : + Supplementary materials ( S1-S3).[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s21020440
Vancouver
Osorio DG, Hidalgo Falla M del P, Peres HEM, Gonçalves JM, Araki K, Segura SG, Picasso G. Silver enhances hematite nanoparticles based ethanol sensor response and selectivity at room temperature [Internet]. Sensors. 2021 ; 21 1-13 art. 440 : + Supplementary materials ( S1-S3).[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s21020440
Artigo de periodico
Q-Meter: quality monitoring system for telecommunication services based on sentiment analysis using deep learning (2021)
Vieira, Samuel Terra; Rosa, Renata Lopes; Zegarra Rodriguez, Demóstenes ; Arjona Ramírez, Miguel ; Saadi, Muhammad; Wuttisittikulkij, Lunchakorn
Source: Sensors. Unidade: EP
Subjects: TELECOMUNICAÇÕES, REDES SOCIAIS
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VIEIRA, Samuel Terra et al. Q-Meter: quality monitoring system for telecommunication services based on sentiment analysis using deep learning. Sensors, v. 21, n. 5, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21051880. Acesso em: 18 nov. 2025.
APA
Vieira, S. T., Rosa, R. L., Zegarra Rodriguez, D., Arjona Ramírez, M., Saadi, M., & Wuttisittikulkij, L. (2021). Q-Meter: quality monitoring system for telecommunication services based on sentiment analysis using deep learning. Sensors, 21( 5), 1-18. doi:10.3390/s21051880
NLM
Vieira ST, Rosa RL, Zegarra Rodriguez D, Arjona Ramírez M, Saadi M, Wuttisittikulkij L. Q-Meter: quality monitoring system for telecommunication services based on sentiment analysis using deep learning [Internet]. Sensors. 2021 ;21( 5): 1-18.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s21051880
Vancouver
Vieira ST, Rosa RL, Zegarra Rodriguez D, Arjona Ramírez M, Saadi M, Wuttisittikulkij L. Q-Meter: quality monitoring system for telecommunication services based on sentiment analysis using deep learning [Internet]. Sensors. 2021 ;21( 5): 1-18.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s21051880
Artigo de periodico
Foil Strain Gauges Using Piezoresistive Carbon Nanotube Yarn: Fabrication and Calibration (2018)
Abot, Jandro L ; Seabra, Antonio Carlos ; Góngora Rubio, Mário Ricardo ; Mello, Luís Augusto Motta; Guimarães, Kleber Lanigra
Source: Sensors. Unidades: EP, IQ
Subjects: NANOTUBOS DE CARBONO, MATERIAIS NANOESTRUTURADOS
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ABNT
ABOT, Jandro L et al. Foil Strain Gauges Using Piezoresistive Carbon Nanotube Yarn: Fabrication and Calibration. Sensors, v. 18, n. 2, p. 464, 2018Tradução . . Disponível em: https://doi.org/10.3390/s18020464. Acesso em: 18 nov. 2025.
APA
Abot, J. L., Seabra, A. C., Góngora Rubio, M. R., Mello, L. A. M., & Guimarães, K. L. (2018). Foil Strain Gauges Using Piezoresistive Carbon Nanotube Yarn: Fabrication and Calibration. Sensors, 18( 2), 464. doi:10.3390/s18020464
NLM
Abot JL, Seabra AC, Góngora Rubio MR, Mello LAM, Guimarães KL. Foil Strain Gauges Using Piezoresistive Carbon Nanotube Yarn: Fabrication and Calibration [Internet]. Sensors. 2018 ; 18( 2): 464.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s18020464
Vancouver
Abot JL, Seabra AC, Góngora Rubio MR, Mello LAM, Guimarães KL. Foil Strain Gauges Using Piezoresistive Carbon Nanotube Yarn: Fabrication and Calibration [Internet]. Sensors. 2018 ; 18( 2): 464.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s18020464
Artigo de periodico
Portable Multispectral Colorimeter for Metallic Ion Detection and Classification (2017)
Braga, Mauro Sergio; Jaimes, Ruth Flavia Vera Villamil; Borysow, Walter; Gomes, Osmar Francisco; Salcedo, Walter Jaimes
Source: Sensors. Unidade: EP
Subjects: MONITORAMENTO AMBIENTAL, ÍONS
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ABNT
BRAGA, Mauro Sergio et al. Portable Multispectral Colorimeter for Metallic Ion Detection and Classification. Sensors, v. 17, n. 8, p. 1730-1743, 2017Tradução . . Disponível em: https://doi.org/10.3390/s17081730. Acesso em: 18 nov. 2025.
APA
Braga, M. S., Jaimes, R. F. V. V., Borysow, W., Gomes, O. F., & Salcedo, W. J. (2017). Portable Multispectral Colorimeter for Metallic Ion Detection and Classification. Sensors, 17( 8), 1730-1743. doi:10.3390/s17081730
NLM
Braga MS, Jaimes RFVV, Borysow W, Gomes OF, Salcedo WJ. Portable Multispectral Colorimeter for Metallic Ion Detection and Classification [Internet]. Sensors. 2017 ; 17( 8): 1730-1743.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s17081730
Vancouver
Braga MS, Jaimes RFVV, Borysow W, Gomes OF, Salcedo WJ. Portable Multispectral Colorimeter for Metallic Ion Detection and Classification [Internet]. Sensors. 2017 ; 17( 8): 1730-1743.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s17081730
Artigo de periodico
Enhanced sensitivity of gas sensor based on poly(3-hexylthiophene) thin-film transistors for disease diagnosis and environment monitoring (2015)
Cavallari, Marco Roberto ; Eirez Izquierdo, José Enrique ; Braga, Guilherme S.; Dirani, Ely Antonio Tadeu ; Silva, Marcelo de Assumpção Pereira da ; Gonzalez Rodríguez, Estrella F; Fonseca, Fernando Josepetti
Source: Sensors. Unidades: IFSC, EP
Subjects: FILMES FINOS, DOENÇAS (DIAGNÓSTICO), DISPOSITIVOS ELETRÔNICOS
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ABNT
CAVALLARI, Marco Roberto et al. Enhanced sensitivity of gas sensor based on poly(3-hexylthiophene) thin-film transistors for disease diagnosis and environment monitoring. Sensors, v. 15, n. 4, p. 9592-9609, 2015Tradução . . Disponível em: https://doi.org/10.3390/s150409592. Acesso em: 18 nov. 2025.
APA
Cavallari, M. R., Eirez Izquierdo, J. E., Braga, G. S., Dirani, E. A. T., Silva, M. de A. P. da, Gonzalez Rodríguez, E. F., & Fonseca, F. J. (2015). Enhanced sensitivity of gas sensor based on poly(3-hexylthiophene) thin-film transistors for disease diagnosis and environment monitoring. Sensors, 15( 4), 9592-9609. doi:10.3390/s150409592
NLM
Cavallari MR, Eirez Izquierdo JE, Braga GS, Dirani EAT, Silva M de AP da, Gonzalez Rodríguez EF, Fonseca FJ. Enhanced sensitivity of gas sensor based on poly(3-hexylthiophene) thin-film transistors for disease diagnosis and environment monitoring [Internet]. Sensors. 2015 ; 15( 4): 9592-9609.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s150409592
Vancouver
Cavallari MR, Eirez Izquierdo JE, Braga GS, Dirani EAT, Silva M de AP da, Gonzalez Rodríguez EF, Fonseca FJ. Enhanced sensitivity of gas sensor based on poly(3-hexylthiophene) thin-film transistors for disease diagnosis and environment monitoring [Internet]. Sensors. 2015 ; 15( 4): 9592-9609.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/s150409592

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