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Trabalho de evento-resumo
Scheme for machine learning control of inline processes via real time spectroscopy monitoringglasses (2024)
Miotti, Marcos Paulo; Evangelista, Renato Feijo ; Estracanholli, Everton Sergio; Hemmerling, Michal; Bagnato, Vanderlei Salvador
Source: Program. Conference titles: International Laser Physics Workshop - LPHYS'24. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA
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ABNT
MIOTTI, Marcos Paulo et al. Scheme for machine learning control of inline processes via real time spectroscopy monitoringglasses. 2024, Anais.. Bristol: Institute of Physics - IOP, 2024. Disponível em: https://www.lasphys.com/workshops/abstracts/files/2024/e7/83/c3/62aa3be07966f181f05f2c4dc4/abstract.pdf. Acesso em: 16 ago. 2024.
APA
Miotti, M. P., Evangelista, R. F., Estracanholli, E. S., Hemmerling, M., & Bagnato, V. S. (2024). Scheme for machine learning control of inline processes via real time spectroscopy monitoringglasses. In Program. Bristol: Institute of Physics - IOP. Recuperado de https://www.lasphys.com/workshops/abstracts/files/2024/e7/83/c3/62aa3be07966f181f05f2c4dc4/abstract.pdf
NLM
Miotti MP, Evangelista RF, Estracanholli ES, Hemmerling M, Bagnato VS. Scheme for machine learning control of inline processes via real time spectroscopy monitoringglasses [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/e7/83/c3/62aa3be07966f181f05f2c4dc4/abstract.pdf
Vancouver
Miotti MP, Evangelista RF, Estracanholli ES, Hemmerling M, Bagnato VS. Scheme for machine learning control of inline processes via real time spectroscopy monitoringglasses [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/e7/83/c3/62aa3be07966f181f05f2c4dc4/abstract.pdf
Trabalho de evento-resumo
Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms (2024)
Patiño, Claudia Patricia Barrera ; Soares, Jennifer Machado ; Blanco, Kate Cristina ; Inada, Natalia Mayumi ; Bagnato, Vanderlei Salvador
Source: Program. Conference titles: International Laser Physics Workshop - LPHYS'24. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, RESISTÊNCIA MICROBIANA ÀS DROGAS, ESPECTROSCOPIA INFRAVERMELHA
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PATIÑO, Claudia Patricia Barrera et al. Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms. 2024, Anais.. Bristol: Institute of Physics - IOP, 2024. Disponível em: https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf. Acesso em: 16 ago. 2024.
APA
Patiño, C. P. B., Soares, J. M., Blanco, K. C., Inada, N. M., & Bagnato, V. S. (2024). Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms. In Program. Bristol: Institute of Physics - IOP. Recuperado de https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf
NLM
Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf
Vancouver
Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf
Trabalho de evento-resumo
Magneto-optical trap optimized via machine learn (2024)
Tafuri, Vinicius Bueno; Telles, Gustavo Deczka
Source: Program. Conference titles: Encontro de Outono da Sociedade Brasileira de Física - EOSBF. Unidades: IFSC, EEL
Subjects: LASER, APRENDIZADO COMPUTACIONAL, MAGNETISMO
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TAFURI, Vinicius Bueno e TELLES, Gustavo Deczka. Magneto-optical trap optimized via machine learn. 2024, Anais.. São Paulo: Sociedade Brasileira de Física - SBF, 2024. Disponível em: https://sec.sbfisica.org.br/eventos/eosbf/2024/sys/resumos/R0303-2.pdf. Acesso em: 16 ago. 2024.
APA
Tafuri, V. B., & Telles, G. D. (2024). Magneto-optical trap optimized via machine learn. In Program. São Paulo: Sociedade Brasileira de Física - SBF. Recuperado de https://sec.sbfisica.org.br/eventos/eosbf/2024/sys/resumos/R0303-2.pdf
NLM
Tafuri VB, Telles GD. Magneto-optical trap optimized via machine learn [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://sec.sbfisica.org.br/eventos/eosbf/2024/sys/resumos/R0303-2.pdf
Vancouver
Tafuri VB, Telles GD. Magneto-optical trap optimized via machine learn [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://sec.sbfisica.org.br/eventos/eosbf/2024/sys/resumos/R0303-2.pdf
Trabalho de evento-resumo
Machine learning applied to laser cooling (2024)
Tafuri, Vinicius Bueno; Telles, Gustavo Deczka
Source: Program. Conference titles: International Laser Physics Workshop - LPHYS'24. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, LASER, RESOLUÇÃO DE PROBLEMAS, ÁTOMOS
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ABNT
TAFURI, Vinicius Bueno e TELLES, Gustavo Deczka. Machine learning applied to laser cooling. 2024, Anais.. Bristol: Institute of Physics - IOP, 2024. Disponível em: https://www.lasphys.com/workshops/abstracts/files/2024/82/5a/11/8b6abcfcc16d18e6da79ee92f8/abstract.pdf. Acesso em: 16 ago. 2024.
APA
Tafuri, V. B., & Telles, G. D. (2024). Machine learning applied to laser cooling. In Program. Bristol: Institute of Physics - IOP. Recuperado de https://www.lasphys.com/workshops/abstracts/files/2024/82/5a/11/8b6abcfcc16d18e6da79ee92f8/abstract.pdf
NLM
Tafuri VB, Telles GD. Machine learning applied to laser cooling [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/82/5a/11/8b6abcfcc16d18e6da79ee92f8/abstract.pdf
Vancouver
Tafuri VB, Telles GD. Machine learning applied to laser cooling [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/82/5a/11/8b6abcfcc16d18e6da79ee92f8/abstract.pdf
Trabalho de evento-resumo
Development of a machine learning model for predicting photophysical parameters of organic molecules (2024)
Araujo, João Marcos Rigon
Source: Program. Conference titles: International Laser Physics Workshop - LPHYS'24. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, FÍSICA MOLECULAR
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ABNT
ARAUJO, João Marcos Rigon. Development of a machine learning model for predicting photophysical parameters of organic molecules. 2024, Anais.. Bristol: Institute of Physics - IOP, 2024. Disponível em: https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdf. Acesso em: 16 ago. 2024.
APA
Araujo, J. M. R. (2024). Development of a machine learning model for predicting photophysical parameters of organic molecules. In Program. Bristol: Institute of Physics - IOP. Recuperado de https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdf
NLM
Araujo JMR. Development of a machine learning model for predicting photophysical parameters of organic molecules [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdf
Vancouver
Araujo JMR. Development of a machine learning model for predicting photophysical parameters of organic molecules [Internet]. Program. 2024 ;[citado 2024 ago. 16 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdf
Trabalho de evento-resumo
Machine learning and natural language processing in materials sciences (2023)
Oliveira Junior, Osvaldo Novais de
Source: Program. Conference titles: Brazil MRS Meeting. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL
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ABNT
OLIVEIRA JUNIOR, Osvaldo Novais de. Machine learning and natural language processing in materials sciences. 2023, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2023. Disponível em: https://repositorio.usp.br/directbitstream/ec37be1e-3dbb-4566-8e05-96209bae1352/3157684.pdf. Acesso em: 16 ago. 2024.
APA
Oliveira Junior, O. N. de. (2023). Machine learning and natural language processing in materials sciences. In Program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat. Recuperado de https://repositorio.usp.br/directbitstream/ec37be1e-3dbb-4566-8e05-96209bae1352/3157684.pdf
NLM
Oliveira Junior ON de. Machine learning and natural language processing in materials sciences [Internet]. Program. 2023 ;[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/ec37be1e-3dbb-4566-8e05-96209bae1352/3157684.pdf
Vancouver
Oliveira Junior ON de. Machine learning and natural language processing in materials sciences [Internet]. Program. 2023 ;[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/ec37be1e-3dbb-4566-8e05-96209bae1352/3157684.pdf
Trabalho de evento-resumo
Knowledge discovery and natural language processing applied to physics (2023)
Oliveira Junior, Osvaldo Novais de
Source: Program. Conference titles: Encontro de Outono da Sociedade Brasileira de Física - EOSBF. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, LINGUAGEM NATURAL, FÍSICA COMPUTACIONAL, APRENDIZADO COMPUTACIONAL
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ABNT
OLIVEIRA JUNIOR, Osvaldo Novais de. Knowledge discovery and natural language processing applied to physics. 2023, Anais.. São Paulo: Sociedade Brasileira de Física - SBF, 2023. Disponível em: https://sec.sbfisica.org.br/eventos/eosbf/2023/sys/resumos/R1103-1.pdf. Acesso em: 16 ago. 2024.
APA
Oliveira Junior, O. N. de. (2023). Knowledge discovery and natural language processing applied to physics. In Program. São Paulo: Sociedade Brasileira de Física - SBF. Recuperado de https://sec.sbfisica.org.br/eventos/eosbf/2023/sys/resumos/R1103-1.pdf
NLM
Oliveira Junior ON de. Knowledge discovery and natural language processing applied to physics [Internet]. Program. 2023 ;[citado 2024 ago. 16 ] Available from: https://sec.sbfisica.org.br/eventos/eosbf/2023/sys/resumos/R1103-1.pdf
Vancouver
Oliveira Junior ON de. Knowledge discovery and natural language processing applied to physics [Internet]. Program. 2023 ;[citado 2024 ago. 16 ] Available from: https://sec.sbfisica.org.br/eventos/eosbf/2023/sys/resumos/R1103-1.pdf
Trabalho de evento-resumo
Knowledge discovery in materials sciences with large language models and artificial intelligence tools (2023)
Oliveira Junior, Osvaldo Novais de
Source: Program. Conference titles: International Union of Materials Research Societies - Internacional Conference on Advanced Materials - IUMRS/ICAM. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, PROPRIEDADES DOS MATERIAIS
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ABNT
OLIVEIRA JUNIOR, Osvaldo Novais de. Knowledge discovery in materials sciences with large language models and artificial intelligence tools. 2023, Anais.. Singapura: Nanyang Technological University - NTU, 2023. Disponível em: https://icmat.meetmatt-svr.net/timetable/presenterschedule?CfId=1&AuthorFname=oliveira&PMode=All&DayId=&SlotId=&SId=. Acesso em: 16 ago. 2024.
APA
Oliveira Junior, O. N. de. (2023). Knowledge discovery in materials sciences with large language models and artificial intelligence tools. In Program. Singapura: Nanyang Technological University - NTU. Recuperado de https://icmat.meetmatt-svr.net/timetable/presenterschedule?CfId=1&AuthorFname=oliveira&PMode=All&DayId=&SlotId=&SId=
NLM
Oliveira Junior ON de. Knowledge discovery in materials sciences with large language models and artificial intelligence tools [Internet]. Program. 2023 ;[citado 2024 ago. 16 ] Available from: https://icmat.meetmatt-svr.net/timetable/presenterschedule?CfId=1&AuthorFname=oliveira&PMode=All&DayId=&SlotId=&SId=
Vancouver
Oliveira Junior ON de. Knowledge discovery in materials sciences with large language models and artificial intelligence tools [Internet]. Program. 2023 ;[citado 2024 ago. 16 ] Available from: https://icmat.meetmatt-svr.net/timetable/presenterschedule?CfId=1&AuthorFname=oliveira&PMode=All&DayId=&SlotId=&SId=
Trabalho de evento-resumo
Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory (2022)
Arbeletche, Luan Bonneau
Source: Program. Conference titles: Encontro de Primavera da Sociedade Brasileira de Física - EPSBF. Unidade: IFSC
Subjects: OBSERVATÓRIOS, APRENDIZADO COMPUTACIONAL, FÍSICA DE ALTA ENERGIA
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ARBELETCHE, Luan Bonneau. Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory. 2022, Anais.. São Paulo: Sociedade Brasileira de Física - SBF, 2022. Disponível em: https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdf. Acesso em: 16 ago. 2024.
APA
Arbeletche, L. B. (2022). Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory. In Program. São Paulo: Sociedade Brasileira de Física - SBF. Recuperado de https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdf
NLM
Arbeletche LB. Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory [Internet]. Program. 2022 ;[citado 2024 ago. 16 ] Available from: https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdf
Vancouver
Arbeletche LB. Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory [Internet]. Program. 2022 ;[citado 2024 ago. 16 ] Available from: https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdf
Trabalho de evento-resumo
Machine learning applied for designing conductive polymers based electrochemical sensors for pesticide (2022)
Galdino, Nathália Magno; Baum, Fábio; Köche, Ariadne; Manica, Luiza; Santos, Jacqueline Ferreira Leite; Oliveira Junior, Osvaldo Novais de
Source: Program. Conference titles: Brazil MRS Meeting. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, SENSOR
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GALDINO, Nathália Magno et al. Machine learning applied for designing conductive polymers based electrochemical sensors for pesticide. 2022, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2022. Disponível em: https://repositorio.usp.br/directbitstream/d9bc3130-ff07-4699-8029-34352397618d/3098363.pdf. Acesso em: 16 ago. 2024.
APA
Galdino, N. M., Baum, F., Köche, A., Manica, L., Santos, J. F. L., & Oliveira Junior, O. N. de. (2022). Machine learning applied for designing conductive polymers based electrochemical sensors for pesticide. In Program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat. Recuperado de https://repositorio.usp.br/directbitstream/d9bc3130-ff07-4699-8029-34352397618d/3098363.pdf
NLM
Galdino NM, Baum F, Köche A, Manica L, Santos JFL, Oliveira Junior ON de. Machine learning applied for designing conductive polymers based electrochemical sensors for pesticide [Internet]. Program. 2022 ;[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/d9bc3130-ff07-4699-8029-34352397618d/3098363.pdf
Vancouver
Galdino NM, Baum F, Köche A, Manica L, Santos JFL, Oliveira Junior ON de. Machine learning applied for designing conductive polymers based electrochemical sensors for pesticide [Internet]. Program. 2022 ;[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/d9bc3130-ff07-4699-8029-34352397618d/3098363.pdf
Trabalho de evento-resumo
Impedimetric electronic tongue based on ion-selective membranes for soil analysis (2021)
Braunger, Maria Luisa ; Shimizu, Flávio Makoto ; Kirsanov, Dmitry; Fier, Igor; Correa, Daniel Souza; Amaral, Lucas Rios do; Oliveira Junior, Osvaldo Novais de ; Legin, Andrey; Riul Junior, Antonio
Source: Program. Conference titles: Brazil MRS Meeting. Unidade: IFSC
Subjects: POLÍMEROS (MATERIAIS), FILMES FINOS, LÍNGUA, APRENDIZADO COMPUTACIONAL, NANOTECNOLOGIA
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ABNT
BRAUNGER, Maria Luisa et al. Impedimetric electronic tongue based on ion-selective membranes for soil analysis. 2021, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2021. Disponível em: https://repositorio.usp.br/directbitstream/6bcc2d0c-73f3-4342-8b86-ef0f910717a3/3040297.pdf. Acesso em: 16 ago. 2024.
APA
Braunger, M. L., Shimizu, F. M., Kirsanov, D., Fier, I., Correa, D. S., Amaral, L. R. do, et al. (2021). Impedimetric electronic tongue based on ion-selective membranes for soil analysis. In Program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat. Recuperado de https://repositorio.usp.br/directbitstream/6bcc2d0c-73f3-4342-8b86-ef0f910717a3/3040297.pdf
NLM
Braunger ML, Shimizu FM, Kirsanov D, Fier I, Correa DS, Amaral LR do, Oliveira Junior ON de, Legin A, Riul Junior A. Impedimetric electronic tongue based on ion-selective membranes for soil analysis [Internet]. Program. 2021 ;[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/6bcc2d0c-73f3-4342-8b86-ef0f910717a3/3040297.pdf
Vancouver
Braunger ML, Shimizu FM, Kirsanov D, Fier I, Correa DS, Amaral LR do, Oliveira Junior ON de, Legin A, Riul Junior A. Impedimetric electronic tongue based on ion-selective membranes for soil analysis [Internet]. Program. 2021 ;[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/6bcc2d0c-73f3-4342-8b86-ef0f910717a3/3040297.pdf
Trabalho de evento-resumo
Machine learning optimization of a magneto-optical trap (2021)
Santos, Lucas Marcelo de Sá Marques dos; Telles, Gustavo Deczka
Source: Program. Conference titles: Encontro de Outono da Sociedade Brasileira de Física - EOSBF. Unidade: IFSC
Subjects: FÍSICA ATÔMICA, ÓPTICA, APRENDIZADO COMPUTACIONAL
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ABNT
SANTOS, Lucas Marcelo de Sá Marques dos e TELLES, Gustavo Deczka. Machine learning optimization of a magneto-optical trap. 2021, Anais.. São Paulo: Sociedade Brasileira de Física - SBF, 2021. Disponível em: https://sec.sbfisica.org.br/eventos/eosbf/2021/sys/resumos/R0653-1.pdf. Acesso em: 16 ago. 2024.
APA
Santos, L. M. de S. M. dos, & Telles, G. D. (2021). Machine learning optimization of a magneto-optical trap. In Program. São Paulo: Sociedade Brasileira de Física - SBF. Recuperado de https://sec.sbfisica.org.br/eventos/eosbf/2021/sys/resumos/R0653-1.pdf
NLM
Santos LM de SM dos, Telles GD. Machine learning optimization of a magneto-optical trap [Internet]. Program. 2021 ;[citado 2024 ago. 16 ] Available from: https://sec.sbfisica.org.br/eventos/eosbf/2021/sys/resumos/R0653-1.pdf
Vancouver
Santos LM de SM dos, Telles GD. Machine learning optimization of a magneto-optical trap [Internet]. Program. 2021 ;[citado 2024 ago. 16 ] Available from: https://sec.sbfisica.org.br/eventos/eosbf/2021/sys/resumos/R0653-1.pdf
Trabalho de evento-resumo
Diagnosis made with machine learning applied to sensing and biosensing data (2021)
Oliveira Junior, Osvaldo Novais de
Source: Program. Conference titles: Brazil MRS Meeting. Unidade: IFSC
Subjects: SENSORES BIOMÉDICOS, POLÍMEROS (MATERIAIS), APRENDIZADO COMPUTACIONAL
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ABNT
OLIVEIRA JUNIOR, Osvaldo Novais de. Diagnosis made with machine learning applied to sensing and biosensing data. 2021, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2021. Disponível em: https://repositorio.usp.br/directbitstream/143eef90-2fb7-46fb-bf35-57420d5c01a6/3040159.pdf. Acesso em: 16 ago. 2024.
APA
Oliveira Junior, O. N. de. (2021). Diagnosis made with machine learning applied to sensing and biosensing data. In Program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat. Recuperado de https://repositorio.usp.br/directbitstream/143eef90-2fb7-46fb-bf35-57420d5c01a6/3040159.pdf
NLM
Oliveira Junior ON de. Diagnosis made with machine learning applied to sensing and biosensing data [Internet]. Program. 2021 ;[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/143eef90-2fb7-46fb-bf35-57420d5c01a6/3040159.pdf
Vancouver
Oliveira Junior ON de. Diagnosis made with machine learning applied to sensing and biosensing data [Internet]. Program. 2021 ;[citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/143eef90-2fb7-46fb-bf35-57420d5c01a6/3040159.pdf
Trabalho de evento-resumo
Machine learning applied to cancer diagnosis through the analysis of impedance spectra obtained with electronic tongue (2019)
Braz, Daniel Cesar; Sá, Acelino Cardoso de; Shimizu, Flávio Makoto; Arantes, Lidia Maria Rebolho Batista; Carvalho, Ana Carolina de; Melendez, Matias Eliseo; Carvalho, André Lopes; Bruno, Odemir Martinez ; Oliveira Junior, Osvaldo Novais de
Source: Program. Conference titles: Brazilian MRS Meeting. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, NEOPLASIAS, LÍNGUA
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ABNT
BRAZ, Daniel Cesar et al. Machine learning applied to cancer diagnosis through the analysis of impedance spectra obtained with electronic tongue. 2019, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2019. . Acesso em: 16 ago. 2024.
APA
Braz, D. C., Sá, A. C. de, Shimizu, F. M., Arantes, L. M. R. B., Carvalho, A. C. de, Melendez, M. E., et al. (2019). Machine learning applied to cancer diagnosis through the analysis of impedance spectra obtained with electronic tongue. In Program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat.
NLM
Braz DC, Sá AC de, Shimizu FM, Arantes LMRB, Carvalho AC de, Melendez ME, Carvalho AL, Bruno OM, Oliveira Junior ON de. Machine learning applied to cancer diagnosis through the analysis of impedance spectra obtained with electronic tongue. Program. 2019 ;[citado 2024 ago. 16 ]
Vancouver
Braz DC, Sá AC de, Shimizu FM, Arantes LMRB, Carvalho AC de, Melendez ME, Carvalho AL, Bruno OM, Oliveira Junior ON de. Machine learning applied to cancer diagnosis through the analysis of impedance spectra obtained with electronic tongue. Program. 2019 ;[citado 2024 ago. 16 ]
Trabalho de evento-resumo
Development of electronic tongues for cancer diagnosis (2019)
Sá, Acelino Cardoso de; Shimizu, Flávio Makoto; Fiamingo, Anderson; Braz, Daniel Cesar; Soares, Andrey Coatrini; Arantes, Lidia Maria Rebolho Batista; Carvalho, Ana Carolina de; Melendez, Matias Eliseo; Carvalho, André Lopes; Bruno, Odemir Martinez ; Oliveira Junior, Osvaldo Novais de
Source: Program. Conference titles: Brazilian MRS Meeting. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, NEOPLASIAS, LÍNGUA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SÁ, Acelino Cardoso de et al. Development of electronic tongues for cancer diagnosis. 2019, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2019. . Acesso em: 16 ago. 2024.
APA
Sá, A. C. de, Shimizu, F. M., Fiamingo, A., Braz, D. C., Soares, A. C., Arantes, L. M. R. B., et al. (2019). Development of electronic tongues for cancer diagnosis. In Program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat.
NLM
Sá AC de, Shimizu FM, Fiamingo A, Braz DC, Soares AC, Arantes LMRB, Carvalho AC de, Melendez ME, Carvalho AL, Bruno OM, Oliveira Junior ON de. Development of electronic tongues for cancer diagnosis. Program. 2019 ;[citado 2024 ago. 16 ]
Vancouver
Sá AC de, Shimizu FM, Fiamingo A, Braz DC, Soares AC, Arantes LMRB, Carvalho AC de, Melendez ME, Carvalho AL, Bruno OM, Oliveira Junior ON de. Development of electronic tongues for cancer diagnosis. Program. 2019 ;[citado 2024 ago. 16 ]
Trabalho de evento-resumo
Research on bio-based materials in the era of artificial intelligence (2019)
Oliveira Junior, Osvaldo Novais de
Source: Program. Conference titles: Brazilian MRS Meeting. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, BIOMATERIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA JUNIOR, Osvaldo Novais de. Research on bio-based materials in the era of artificial intelligence. 2019, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2019. . Acesso em: 16 ago. 2024.
APA
Oliveira Junior, O. N. de. (2019). Research on bio-based materials in the era of artificial intelligence. In Program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat.
NLM
Oliveira Junior ON de. Research on bio-based materials in the era of artificial intelligence. Program. 2019 ;[citado 2024 ago. 16 ]
Vancouver
Oliveira Junior ON de. Research on bio-based materials in the era of artificial intelligence. Program. 2019 ;[citado 2024 ago. 16 ]

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