- Parallel heterogeneous data‐fusion convolutional neural networks for improved rail bridge strike detection. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 15 (22 juillet 2024). (2024):
- Damage scenario analysis of bridges using crowdsourced smartphone data from passing vehicles. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 9 (décembre 2023). (2023):
- Axial–Flexural Interaction in Axially Restrained Beams in Progressive Collapse Column-Removal Scenarios. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 37, n. 2 (avril 2023). (2023):
- Bridge frequency estimation strategies using smartphones. Dans: Journal of Civil Structural Health Monitoring, v. 10, n. 3 (mars 2020). (2020):
- A Structural Impairment Detection System Using Competitive Arrays of Artificial Neural Networks. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 29, n. 3 (janvier 2014). (2014):
- Effect of mix design on compressed earth block strength. Dans: Construction and Building Materials, v. 158 (janvier 2018). (2018):
- Frequency Estimation on Two-Span Continuous Bridges Using Dynamic Responses of Passing Vehicles. Dans: Journal of Engineering Mechanics (ASCE), v. 146, n. 1 (janvier 2020). (2020):
- Rapid soil classification using artificial neural networks for use in constructing compressed earth blocks. Dans: Construction and Building Materials, v. 138 (mai 2017). (2017):
- Methodology for Designing Diagnostic Data Streams for Use in a Structural Impairment Detection System. Dans: Journal of Bridge Engineering (ASCE), v. 19, n. 4 (avril 2014). (2014):