- A BIM-enabled digital twin framework for real-time indoor environment monitoring and visualization by integrating autonomous robotics, LiDAR-based 3D mobile mapping, IoT sensing, and indoor positioning technologies. Dans: Journal of Building Engineering, v. 86 (juin 2024). (2024):
- Improving the Predictive Analytics of Machine-Learning Pipelines for Bridge Infrastructure Asset Management Applications: An Upstream Data Workflow to Address Data Quality Issues in the National Bridge Inventory Database. Dans: Journal of Bridge Engineering (ASCE), v. 29, n. 1 (janvier 2024). (2024):
- Predicting Urban Heat Island severity on the census-tract level using Bayesian networks. Dans: Sustainable Cities and Society, v. 97 (octobre 2023). (2023):
- Expert Knowledge–Guided Bayesian Belief Networks for Predicting Bridge Pile Capacity. Dans: Journal of Bridge Engineering (ASCE), v. 28, n. 9 (septembre 2023). (2023):
- Structural Deterioration Knowledge Ontology towards Physics-Informed Machine Learning for Enhanced Bridge Deterioration Prediction. Dans: Journal of Computing in Civil Engineering, v. 37, n. 1 (janvier 2023). (2023):
- (2022): Environmental Efficiency Evaluation of Construction Waste Generation Based on Data Envelopment Analysis and Malmquist Index. Dans: Buildings, v. 12, n. 8 (31 juillet 2022).
- Eye-tracking study of public acceptance of 5G base stations in the context of the COVID-19 pandemic. Dans: Engineering, Construction and Architectural Management, v. 30, n. 8 (janvier 2023). (2023):
- Time-Series Data Mining of Minimum Design Height for River Bridge Deck Using Seasonal Trend Decomposition. Dans: Journal of Physics: Conference Series, v. 1284, n. 1 (1 août 2019). (2019):
- Predicting Resilient Modulus of Cementitiously Stabilized Subgrade Soils Using Neural Network, Support Vector Machine, and Gaussian Process Regression. Dans: International Journal of Geomechanics, v. 21, n. 6 (juin 2021). (2021):