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ABNT
HUAMAN, Jose Luis Clabel et al. Overall aspects of glasses for photonic devices. Advances in Glass Research. Tradução . Cham: Springer, 2023. p. 403 . Disponível em: https://doi.org/10.1007/978-3-031-20266-7_1. Acesso em: 17 nov. 2024.
APA
Huaman, J. L. C., Calderón, G. L., Pinto, I. C., Falci, R. F., Rivera, V. A. G., Messaddeq, Y., & Marega Junior, E. (2023). Overall aspects of glasses for photonic devices. In Advances in Glass Research (p. 403 ). Cham: Springer. doi:10.1007/978-3-031-20266-7_1
NLM
Huaman JLC, Calderón GL, Pinto IC, Falci RF, Rivera VAG, Messaddeq Y, Marega Junior E. Overall aspects of glasses for photonic devices [Internet]. In: Advances in Glass Research. Cham: Springer; 2023. p. 403 .[citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-3-031-20266-7_1
Vancouver
Huaman JLC, Calderón GL, Pinto IC, Falci RF, Rivera VAG, Messaddeq Y, Marega Junior E. Overall aspects of glasses for photonic devices [Internet]. In: Advances in Glass Research. Cham: Springer; 2023. p. 403 .[citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-3-031-20266-7_1
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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: 17 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. 17 ] 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. 17 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_3
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REQUENA, Michelle Barreto e AZEVEDO, Mirian Denise Stringasci de e BUZZÁ, Hilde Harb. Optical techniques for treatment and tissue evaluation using skin models for preclinical studies. Handbook of animal models and its uses in cancer research. Tradução . Singapore: Springer, 2023. . Disponível em: https://doi.org/10.1007/978-981-19-3824-5_29. Acesso em: 17 nov. 2024.
APA
Requena, M. B., Azevedo, M. D. S. de, & Buzzá, H. H. (2023). Optical techniques for treatment and tissue evaluation using skin models for preclinical studies. In Handbook of animal models and its uses in cancer research. Singapore: Springer. doi:10.1007/978-981-19-3824-5_29
NLM
Requena MB, Azevedo MDS de, Buzzá HH. Optical techniques for treatment and tissue evaluation using skin models for preclinical studies [Internet]. In: Handbook of animal models and its uses in cancer research. Singapore: Springer; 2023. [citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-981-19-3824-5_29
Vancouver
Requena MB, Azevedo MDS de, Buzzá HH. Optical techniques for treatment and tissue evaluation using skin models for preclinical studies [Internet]. In: Handbook of animal models and its uses in cancer research. Singapore: Springer; 2023. [citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-981-19-3824-5_29
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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: 17 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. 17 ] 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. 17 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_6
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HUAMAN, Jose Luis Clabel et al. Nonlinear optical properties in Perovskite structure and their applications. Metal-halide perovskite semiconductors: from physical properties to opto-electronic devices and x-ray sensors. Tradução . Cham: Springer, 2023. . Disponível em: https://doi.org/10.1007/978-3-031-26892-2_10. Acesso em: 17 nov. 2024.
APA
Huaman, J. L. C., Cocca, L. H. Z., Pelosi, A. G., Garcia, R. de Q., De Boni, L., & Mendonça, C. R. (2023). Nonlinear optical properties in Perovskite structure and their applications. In Metal-halide perovskite semiconductors: from physical properties to opto-electronic devices and x-ray sensors. Cham: Springer. doi:10.1007/978-3-031-26892-2_10
NLM
Huaman JLC, Cocca LHZ, Pelosi AG, Garcia R de Q, De Boni L, Mendonça CR. Nonlinear optical properties in Perovskite structure and their applications [Internet]. In: Metal-halide perovskite semiconductors: from physical properties to opto-electronic devices and x-ray sensors. Cham: Springer; 2023. [citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-3-031-26892-2_10
Vancouver
Huaman JLC, Cocca LHZ, Pelosi AG, Garcia R de Q, De Boni L, Mendonça CR. Nonlinear optical properties in Perovskite structure and their applications [Internet]. In: Metal-halide perovskite semiconductors: from physical properties to opto-electronic devices and x-ray sensors. Cham: Springer; 2023. [citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-3-031-26892-2_10
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CAGNANI, Giovana Rosso e IBÁÑEZ-REDÍN, Glenda Gisela. Application of large-scale fabrication techniques for development of electrochemical biosensors. Advances in bioelectrochemistry. Tradução . Cham: Springer, 2022. v. 3. . Disponível em: https://doi.org/10.1007/978-3-030-97921-8_4. Acesso em: 17 nov. 2024.
APA
Cagnani, G. R., & Ibáñez-Redín, G. G. (2022). Application of large-scale fabrication techniques for development of electrochemical biosensors. In Advances in bioelectrochemistry (Vol. 3). Cham: Springer. doi:10.1007/978-3-030-97921-8_4
NLM
Cagnani GR, Ibáñez-Redín GG. Application of large-scale fabrication techniques for development of electrochemical biosensors [Internet]. In: Advances in bioelectrochemistry. Cham: Springer; 2022. [citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-3-030-97921-8_4
Vancouver
Cagnani GR, Ibáñez-Redín GG. Application of large-scale fabrication techniques for development of electrochemical biosensors [Internet]. In: Advances in bioelectrochemistry. Cham: Springer; 2022. [citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-3-030-97921-8_4
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PEREIRA, Andressa Ribeiro. Protein engineering for designing efficient bioelectrodes. Advances in bioelectrochemistry. Tradução . Cham: Springer, 2022. v. 4. . Disponível em: https://doi.org/10.1007/978-3-030-99662-8_1. Acesso em: 17 nov. 2024.
APA
Pereira, A. R. (2022). Protein engineering for designing efficient bioelectrodes. In Advances in bioelectrochemistry (Vol. 4). Cham: Springer. doi:10.1007/978-3-030-99662-8_1
NLM
Pereira AR. Protein engineering for designing efficient bioelectrodes [Internet]. In: Advances in bioelectrochemistry. Cham: Springer; 2022. [citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-3-030-99662-8_1
Vancouver
Pereira AR. Protein engineering for designing efficient bioelectrodes [Internet]. In: Advances in bioelectrochemistry. Cham: Springer; 2022. [citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/978-3-030-99662-8_1