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1
Recent advances in machine learning for electrochemical, optical, and gas sensors
Recent advances in machine learning for electrochemical, optical, and gas sensors
Material Type:
Livro 		Adicionar ao Meu Espaço

Recent advances in machine learning for electrochemical, optical, and gas sensors

Elsa Maria Materon Filipe Sampaio Reis da Silva; Lucas Correia Ribas; Nirav Kumar Jitendrabhai Joshi; Odemir Martinez Bruno; Emanuel Carrilho; Osvaldo Novais de Oliveira Junior

Joshi, Nirav; Kushvaha, Vinod; Madhushri, Priyanka, eds Machine learning for advanced functional materials Singapore: Springer, 2023 303 p

Singapore Springer 2023

Localização: IFSC - Inst. Física de São Carlos    (PROD034544 ) e outros locais(Acessar)

2
Complex texture features learned by applying randomized neural network on graphs
Complex texture features learned by applying randomized neural network on graphs
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Complex texture features learned by applying randomized neural network on graphs

Kallil M. C. Zielinski Lucas Correia Ribas; Leonardo Scabini; Odemir Martinez Bruno; International Conference on Image Processing Theory, Tools and Applications - IPTA (11. 2022 Virtual)

Proceedings Piscataway : Institute of Electrical and Electronic Engineers - IEEE, 2022

Piscataway Institute of Electrical and Electronic Engineers - IEEE 2022

Localização: IFSC - Inst. Física de São Carlos    (PROD033151 )(Acessar)

3
A complex network approach for fish species recognition based on otolith shape
A complex network approach for fish species recognition based on otolith shape
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A complex network approach for fish species recognition based on otolith shape

Lucas Correia Ribas Leonardo Scabini; Odemir Martinez Bruno; International Conference on Image Processing Theory, Tools and Applications - IPTA (11. 2022 Salzburg)

Proceedings Piscataway : Institute of Electrical and Electronic Engineers - IEEE, 2022

Piscataway Institute of Electrical and Electronic Engineers - IEEE 2022

Localização: IFSC - Inst. Física de São Carlos    (PROD033150 )(Acessar)

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