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Editor de periodico
Discover Electrochemistry (2024)
Brazaca, Lais Canniatti ; Raymundo-Pereira, Paulo Augusto
Unidades: IQSC, IFSC
Assunto: ELETROQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRAZACA, Lais Canniatti e RAYMUNDO-PEREIRA, Paulo Augusto. Discover Electrochemistry. . Singapura: Springer Singapore. Disponível em: https://link.springer.com/journal/44373/editors. Acesso em: 13 nov. 2024. , 2024
APA
Brazaca, L. C., & Raymundo-Pereira, P. A. (2024). Discover Electrochemistry. Singapura: Springer Singapore. Recuperado de https://link.springer.com/journal/44373/editors
NLM
Brazaca LC, Raymundo-Pereira PA. Discover Electrochemistry [Internet]. 2024 ;[citado 2024 nov. 13 ] Available from: https://link.springer.com/journal/44373/editors
Vancouver
Brazaca LC, Raymundo-Pereira PA. Discover Electrochemistry [Internet]. 2024 ;[citado 2024 nov. 13 ] Available from: https://link.springer.com/journal/44373/editors
Parte de monografia/livro-apres/pref/posf
Machine learning for advanced functional materials. [Prefácio] (2023)
Joshi, Nirav Kumar Jitendrabhai ; Kushvaha, Vinod; Madhushri, Priyanka
Source: Machine learning for advanced functional materials. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, ELETROQUÍMICA, SENSOR, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JOSHI, Nirav Kumar Jitendrabhai e KUSHVAHA, Vinod e MADHUSHRI, Priyanka. Machine learning for advanced functional materials. [Prefácio]. Machine learning for advanced functional materials. Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-99-0393-1. Acesso em: 13 nov. 2024. , 2023
APA
Joshi, N. K. J., Kushvaha, V., & Madhushri, P. (2023). Machine learning for advanced functional materials. [Prefácio]. Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1
NLM
Joshi NKJ, Kushvaha V, Madhushri P. Machine learning for advanced functional materials. [Prefácio] [Internet]. Machine learning for advanced functional materials. 2023 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
Vancouver
Joshi NKJ, Kushvaha V, Madhushri P. Machine learning for advanced functional materials. [Prefácio] [Internet]. Machine learning for advanced functional materials. 2023 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
Parte de monografia/livro
Electrochemical biosensors in agricultural and veterinary applications (2023)
Bazzana, Matheus Julien Ferreira ; Assis, Leticia Cristina de; Martins, Roberta Castro ; Saczk, Adelir Aparecida ; Felix, Fabiana da Silva; Angnes, Lúcio
Source: Biomaterials-Based Sensors: Recent Advances and Applications. Unidade: IQ
Subjects: ELETROQUÍMICA, BIOMATERIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZZANA, Matheus Julien Ferreira et al. Electrochemical biosensors in agricultural and veterinary applications. Biomaterials-Based Sensors: Recent Advances and Applications. Tradução . Singapore: Springer, 2023. . . Acesso em: 13 nov. 2024.
APA
Bazzana, M. J. F., Assis, L. C. de, Martins, R. C., Saczk, A. A., Felix, F. da S., & Angnes, L. (2023). Electrochemical biosensors in agricultural and veterinary applications. In Biomaterials-Based Sensors: Recent Advances and Applications. Singapore: Springer.
NLM
Bazzana MJF, Assis LC de, Martins RC, Saczk AA, Felix F da S, Angnes L. Electrochemical biosensors in agricultural and veterinary applications. In: Biomaterials-Based Sensors: Recent Advances and Applications. Singapore: Springer; 2023. [citado 2024 nov. 13 ]
Vancouver
Bazzana MJF, Assis LC de, Martins RC, Saczk AA, Felix F da S, Angnes L. Electrochemical biosensors in agricultural and veterinary applications. In: Biomaterials-Based Sensors: Recent Advances and Applications. Singapore: Springer; 2023. [citado 2024 nov. 13 ]
Parte de monografia/livro
A machine learning approach in wearable technologies (2023)
Ibáñez-Redín, Glenda Gisela ; Duarte, Oscar Salomón; Cagnani, Giovana Rosso ; Oliveira Junior, Osvaldo Novais de
Source: Machine learning for advanced functional materials. Unidades: IFSC, IQSC
Subjects: ELETROQUÍMICA, APRENDIZADO COMPUTACIONAL, SENSOR, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
IBÁÑEZ-REDÍN, Glenda Gisela et al. A machine learning approach in wearable technologies. Machine learning for advanced functional materials. Tradução . Singapore: Springer, 2023. . Disponível em: https://doi.org/10.1007/978-981-99-0393-1_3. Acesso em: 13 nov. 2024.
APA
Ibáñez-Redín, G. G., Duarte, O. S., Cagnani, G. R., & Oliveira Junior, O. N. de. (2023). A machine learning approach in wearable technologies. In Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1_3
NLM
Ibáñez-Redín GG, Duarte OS, Cagnani GR, Oliveira Junior ON de. A machine learning approach in wearable technologies [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_3
Vancouver
Ibáñez-Redín GG, Duarte OS, Cagnani GR, Oliveira Junior ON de. A machine learning approach in wearable technologies [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_3
Monografia/livro-ed/org
Machine learning for advanced functional materials (2023)
Joshi, Nirav Kumar Jitendrabhai (Editor) ; Kushvaha, Vinod (Editor); Madhushri, Priyanka (Editor)
Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, ELETROQUÍMICA, SENSOR, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
Machine learning for advanced functional materials. . Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-99-0393-1. Acesso em: 13 nov. 2024. , 2023
APA
Machine learning for advanced functional materials. (2023). Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1
NLM
Machine learning for advanced functional materials [Internet]. 2023 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
Vancouver
Machine learning for advanced functional materials [Internet]. 2023 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
Parte de monografia/livro
Recent advances in machine learning for electrochemical, optical, and gas sensors (2023)
Materon, Elsa Maria ; Silva, Filipe Sampaio Reis da ; Ribas, Lucas Correia ; Joshi, Nirav Kumar Jitendrabhai ; Bruno, Odemir Martinez ; Carrilho, Emanuel ; Oliveira Junior, Osvaldo Novais de
Source: Machine learning for advanced functional materials. Unidades: IFSC, IQSC
Subjects: ELETROQUÍMICA, SENSORES QUÍMICOS, SENSORES ÓPTICOS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATERON, Elsa Maria et al. Recent advances in machine learning for electrochemical, optical, and gas sensors. Machine learning for advanced functional materials. Tradução . Singapore: Springer, 2023. . Disponível em: https://doi.org/10.1007/978-981-99-0393-1_6. Acesso em: 13 nov. 2024.
APA
Materon, E. M., Silva, F. S. R. da, Ribas, L. C., Joshi, N. K. J., Bruno, O. M., Carrilho, E., & Oliveira Junior, O. N. de. (2023). Recent advances in machine learning for electrochemical, optical, and gas sensors. In Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1_6
NLM
Materon EM, Silva FSR da, Ribas LC, Joshi NKJ, Bruno OM, Carrilho E, Oliveira Junior ON de. Recent advances in machine learning for electrochemical, optical, and gas sensors [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_6
Vancouver
Materon EM, Silva FSR da, Ribas LC, Joshi NKJ, Bruno OM, Carrilho E, Oliveira Junior ON de. Recent advances in machine learning for electrochemical, optical, and gas sensors [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_6

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