Xincong Yang
- (2024): An AI-based partial explainable prediction of rubber concrete strength on mobile devices. Dans: Construction and Building Materials, v. 427 (mai 2024).
- (2024): Real-Time Monitoring of Mental Fatigue of Construction Workers Using Enhanced Sequential Learning and Timeliness. Dans: Automation in Construction, v. 159 (mars 2024).
- (2022): Prediction of the sulfate resistance for recycled aggregate concrete based on ensemble learning algorithms. Dans: Construction and Building Materials, v. 317 (janvier 2022).
- (2021): Posture-related data collection methods for construction workers: A review. Dans: Automation in Construction, v. 124 (avril 2021).
- (2020): Automated PPE-Tool pair check system for construction 2 safety using smart IoT. Dans: Journal of Building Engineering, v. 32 (novembre 2020).
- (2019): Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 4 (mars 2019).
- (2018): Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 12 (novembre 2018).
- (2018): Computer-Aided Optimization of Surveillance Cameras Placement on Construction Sites. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 12 (novembre 2018).
- (2017): Dynamics of Project-Based Collaborative Networks for BIM Implementation: Analysis Based on Stochastic Actor-Oriented Models. Dans: Journal of Management in Engineering (ASCE), v. 33, n. 3 (mai 2017).
- (2019): An automatic and non-invasive physical fatigue assessment method for construction workers. Dans: Automation in Construction, v. 103 (juillet 2019).
- (2019): Joint-Level Vision-Based Ergonomic Assessment Tool for Construction Workers. Dans: Journal of Construction Engineering and Management, v. 145, n. 5 (mai 2019).
- (2019): Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles. Dans: Journal of Computing in Civil Engineering, v. 33, n. 3 (mai 2019).
- (2017): Fractal dimension in concrete and implementation for meso-simulation. Dans: Construction and Building Materials, v. 143 (juillet 2017).
- (2017): Hierarchical Bayesian Model of Worker Response to Proximity Warnings of Construction Safety Hazards: Toward Constant Review of Safety Risk Control Measures. Dans: Journal of Construction Engineering and Management, v. 143, n. 6 (juin 2017).
- (2017): Automated classification of construction site hazard zones by crowd-sourced integrated density maps. Dans: Automation in Construction, v. 81 (septembre 2017).
- (2018): Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks. Dans: Automation in Construction, v. 94 (octobre 2018).
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