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Parte de monografia/livro-apres/pref/posf
Machine learning for advanced functional materials. [Prefácio] (2023)
Joshi, Nirav Kumar Jitendrabhai ; Kushvaha, Vinod; Madhushri, Priyanka
Fonte: Machine learning for advanced functional materials. Unidade: IFSC
Assuntos: 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: 28 ago. 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 ago. 28 ] 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 ago. 28 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
Monografia/livro-ed/org
Machine learning for advanced functional materials (2023)
Joshi, Nirav Kumar Jitendrabhai (Editor) ; Kushvaha, Vinod (Editor); Madhushri, Priyanka (Editor)
Unidade: IFSC
Assuntos: 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: 28 ago. 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 ago. 28 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
Vancouver
Machine learning for advanced functional materials [Internet]. 2023 ;[citado 2024 ago. 28 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
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
Fonte: Machine learning for advanced functional materials. Unidades: IFSC, IQSC
Assuntos: 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: 28 ago. 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 ago. 28 ] 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 ago. 28 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_3
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
Fonte: Machine learning for advanced functional materials. Unidades: IFSC, IQSC
Assuntos: 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: 28 ago. 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 ago. 28 ] 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 ago. 28 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_6

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