Ulrike Dackermann 
- (2024): Enhancing load prediction for structures with concrete overlay using transfer learning of time–frequency feature-based deep models. In: Engineering Structures, v. 305 (April 2024).
- (2024): Enhanced damage detection for noisy input signals using improved reptile search algorithm and data analytics techniques. In: Computers & Structures, v. 296 (June 2024).
- (2023): Time–frequency analysis of ultrasonic signals for quality assessment of bonded concrete. In: Construction and Building Materials, v. 403 (November 2023).
- (2023): Optimization-based damage detection in composite structures using incomplete measurements. In: Structures, v. 56 (October 2023).
- (2023): Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review. In: Buildings, v. 13, n. 4 (24 March 2023).
- (2014): Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks. In: Structural Health Monitoring, v. 13, n. 4 (February 2014).
- (2014): Guided wave–based condition assessment of in situ timber utility poles using machine learning algorithms. In: Structural Health Monitoring, v. 13, n. 4 (February 2014).
- (2017): Cepstrum-based damage identification in structures with progressive damage. In: Structural Health Monitoring, v. 18, n. 1 (December 2017).
- (2017): Wavelet packet energy–based damage identification of wood utility poles using support vector machine multi-classifier and evidence theory. In: Structural Health Monitoring, v. 18, n. 1 (December 2017).
- (2018): FRF Sensitivity-Based Damage Identification Using Linkage Modeling for Limited Sensor Arrays. In: International Journal of Structural Stability and Dynamics, v. 18, n. 8 (August 2018).
- (2016): Condition Assessment of Timber Utility Poles Based on a Hierarchical Data Fusion Model. In: Journal of Computing in Civil Engineering, v. 30, n. 5 (September 2016).
- (2011): Damage identification in civil engineering structures utilizing PCA-compressed residual frequency response functions and neural network ensembles. In: Structural Control and Health Monitoring, v. 18, n. 2 (March 2011).
- (2016): A comparative study of using static and ultrasonic material testing methods to determine the anisotropic material properties of wood. In: Construction and Building Materials, v. 102 (January 2016).
- (2016): A dynamic-based method for the assessment of connection systems of timber composite structures. In: Construction and Building Materials, v. 102 (January 2016).
- (2014): In situ assessment of structural timber using stress-wave measurements. In: Materials and Structures, v. 47, n. 5 (May 2014).
- (2012): Location and Severity Identification of Notch-Type Damage in a Two-Storey Steel Framed Structure Utilising Frequency Response Functions and Artificial Neural Network. In: Advances in Structural Engineering, v. 15, n. 5 (May 2012).
- (2010): Dynamic-Based Damage Identification Using Neural Network Ensembles and Damage Index Method. In: Advances in Structural Engineering, v. 13, n. 6 (December 2010).
- (2015): Elastic wave modes for the assessment of structural timber: ultrasonic echo for building elements and guided waves for pole and pile structures. In: Journal of Civil Structural Health Monitoring, v. 5, n. 2 (February 2015).
- (2016): Load capacity prediction of in-service timber utility poles considering wind load. In: Journal of Civil Structural Health Monitoring, v. 6, n. 3 (July 2016).
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