Jidong J. Yang 
- (2022): Deep-Learning-Based Temporal Prediction for Mitigating Dynamic Inconsistency in Vehicular Live Loads on Roads and Bridges. In: Infrastructures, v. 7, n. 11 (November 2022).
- (2021): Use of Machine Learning Algorithms to Predict Subgrade Resilient Modulus. In: Infrastructures, v. 6, n. 6 (June 2021).
- (2021): Use of Random Forest Model to Identify the Relationships Among Vegetative Species, Salt Marsh Soil Properties, and Interstitial Water along the Atlantic Coast of Georgia. In: Infrastructures, v. 6, n. 5 (May 2021).
- (2020): Understanding Multi-Vehicle Collision Patterns on Freeways—A Machine Learning Approach. In: Infrastructures, v. 5, n. 8 (August 2020).
- (2022): Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data. In: Journal of Transportation Engineering, Part A: Systems, v. 148, n. 5 (May 2022).
- (2022): Cognitive Approaches to Hyperbolic Discounting of High-Impact Low-Probability Bridge Overload Events and Live-Load Factors. In: Journal of Performance of Constructed Facilities (ASCE), v. 36, n. 2 (April 2022).
- (2021): Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design. In: KSCE Journal of Civil Engineering, v. 25, n. 11 (August 2021).
- (2017): Performance of Smart Sensor Detectors for Stop-Bar Detection at Signalized Intersections. In: Journal of Transportation Engineering, Part A: Systems, v. 143, n. 6 (June 2017).
Structurae cooperates with
