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Samuel da Silva ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Novais, Henrique Cordeiro / da Silva, Samuel / Figueiredo, Eloi: Co-Kriging strategy for structural health monitoring of bridges. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241265375

  2. Souza, Laura / Omori Yano, Marcus / da Silva, Samuel / Figueiredo, Eloi (2024): A Comprehensive Study on Unsupervised Transfer Learning for Structural Health Monitoring of Bridges Using Joint Distribution Adaptation. In: Infrastructures, v. 9, n. 8 (3 August 2024).

    https://doi.org/10.3390/infrastructures9080131

  3. Ferreira, Leonardo de Paula S. / Teloli, Rafael de O. / da Silva, Samuel / Figueiredo, Eloi / Maia, Nuno / Cimini, Carlos A.: Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241236801

  4. Omori Yano, Marcus / Figueiredo, Eloi / da Silva, Samuel / Cury, Alexandre / Moldovan, Ionut (2023): Transfer Learning for Structural Health Monitoring in Bridges That Underwent Retrofitting. In: Buildings, v. 13, n. 9 (23 August 2023).

    https://doi.org/10.3390/buildings13092323

  5. Figueiredo, Eloi / Omori Yano, Marcus / da Silva, Samuel / Moldovan, Ionut / Bud, Mihai Adrian (2023): Transfer Learning to Enhance the Damage Detection Performance in Bridges When Using Numerical Models. In: Journal of Bridge Engineering (ASCE), v. 28, n. 1 (January 2023).

    https://doi.org/10.1061/(asce)be.1943-5592.0001979

  6. da Silva, Samuel / Figueiredo, Eloi / Moldovan, Ionut (2022): Damage Detection Approach for Bridges under Temperature Effects using Gaussian Process Regression Trained with Hybrid Data. In: Journal of Bridge Engineering (ASCE), v. 27, n. 11 (November 2022).

    https://doi.org/10.1061/(asce)be.1943-5592.0001949

  7. Omori Yano, Marcus / da Silva, Samuel / Figueiredo, Eloi / Giacon Villani, Luis G. (2022): Damage quantification using transfer component analysis combined with Gaussian process regression. In: Structural Health Monitoring, v. 22, n. 2 (May 2022).

    https://doi.org/10.1177/14759217221094500

  8. Miguel, Luccas P. / Teloli, Rafael de O. / da Silva, Samuel / Chevallier, Gaël (2022): Probabilistic machine learning for detection of tightening torque in bolted joints. In: Structural Health Monitoring, v. 21, n. 5 (March 2022).

    https://doi.org/10.1177/14759217211054150

  9. Pavlack, Bruna / Paixão, Jessé / da Silva, Samuel / Cunha, Americo / García Cava, David (2021): Polynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blades. In: Structural Health Monitoring, v. 21, n. 2 (May 2021).

    https://doi.org/10.1177/14759217211007956

  10. da Silva, Samuel / Dias Junior, Milton / Lopes Junior, Vicente (2008): Structural Health Monitoring in Smart Structures Through Time Series Analysis. In: Structural Health Monitoring, v. 7, n. 3 (July 2008).

    https://doi.org/10.1177/1475921708090561

  11. da Silva, Samuel / Gianini Gonsalez, Camila / Lopes, Vicente (2010): Adaptive filter feature identification for structural health monitoring in an aeronautical panel. In: Structural Health Monitoring, v. 10, n. 5 (August 2010).

    https://doi.org/10.1177/1475921710379514

  12. Shiki, Sidney B. / da Silva, Samuel / Todd, Michael D. (2016): On the application of discrete-time Volterra series for the damage detection problem in initially nonlinear systems. In: Structural Health Monitoring, v. 16, n. 1 (August 2016).

    https://doi.org/10.1177/1475921716662142

  13. Villani, Luis GG / da Silva, Samuel / Cunha, Americo / Todd, Michael D. (2019): On the detection of a nonlinear damage in an uncertain nonlinear beam using stochastic Volterra series. In: Structural Health Monitoring, v. 19, n. 4 (September 2019).

    https://doi.org/10.1177/1475921719876086

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