Samuel da Silva 
- : Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data. In: Structural Health Monitoring.
- (2023): Transfer Learning for Structural Health Monitoring in Bridges That Underwent Retrofitting. In: Buildings, v. 13, n. 9 (23 August 2023).
- (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).
- (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).
- (2022): Damage quantification using transfer component analysis combined with Gaussian process regression. In: Structural Health Monitoring, v. 22, n. 2 (May 2022).
- (2022): Probabilistic machine learning for detection of tightening torque in bolted joints. In: Structural Health Monitoring, v. 21, n. 5 (March 2022).
- (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).
- (2008): Structural Health Monitoring in Smart Structures Through Time Series Analysis. In: Structural Health Monitoring, v. 7, n. 3 (July 2008).
- (2010): Adaptive filter feature identification for structural health monitoring in an aeronautical panel. In: Structural Health Monitoring, v. 10, n. 5 (August 2010).
- (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).
- (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).
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