Xincong Yang
- Dynamic responses of thin-walled FRP-concrete-steel tubular wind turbine tower under horizontal impact loading: Experimental study and FE modelling. In: Structures, v. 69 (November 2024). (2024):
- Automatic monitoring the risk coupling of foundation pits: integrated point cloud, computer vision and Bayesian networks approach. In: Engineering, Construction and Architectural Management. :
- (2024): Automated Defect Detection on Dry-Hanging Stone Curtain Walls through Colored Point Clouds. In: Buildings, v. 14, n. 9 (25 August 2024).
- An AI-based partial explainable prediction of rubber concrete strength on mobile devices. In: Construction and Building Materials, v. 427 (May 2024). (2024):
- Real-Time Monitoring of Mental Fatigue of Construction Workers Using Enhanced Sequential Learning and Timeliness. In: Automation in Construction, v. 159 (March 2024). (2024):
- Prediction of the sulfate resistance for recycled aggregate concrete based on ensemble learning algorithms. In: Construction and Building Materials, v. 317 (January 2022). (2022):
- Posture-related data collection methods for construction workers: A review. In: Automation in Construction, v. 124 (April 2021). (2021):
- Automated PPE-Tool pair check system for construction 2 safety using smart IoT. In: Journal of Building Engineering, v. 32 (November 2020). (2020):
- Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning. In: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 4 (March 2019). (2019):
- Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network. In: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 12 (November 2018). (2018):
- Computer-Aided Optimization of Surveillance Cameras Placement on Construction Sites. In: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 12 (November 2018). (2018):
- Dynamics of Project-Based Collaborative Networks for BIM Implementation: Analysis Based on Stochastic Actor-Oriented Models. In: Journal of Management in Engineering (ASCE), v. 33, n. 3 (May 2017). (2017):
- An automatic and non-invasive physical fatigue assessment method for construction workers. In: Automation in Construction, v. 103 (July 2019). (2019):
- Joint-Level Vision-Based Ergonomic Assessment Tool for Construction Workers. In: Journal of Construction Engineering and Management, v. 145, n. 5 (May 2019). (2019):
- Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles. In: Journal of Computing in Civil Engineering, v. 33, n. 3 (May 2019). (2019):
- Fractal dimension in concrete and implementation for meso-simulation. In: Construction and Building Materials, v. 143 (July 2017). (2017):
- Hierarchical Bayesian Model of Worker Response to Proximity Warnings of Construction Safety Hazards: Toward Constant Review of Safety Risk Control Measures. In: Journal of Construction Engineering and Management, v. 143, n. 6 (June 2017). (2017):
- Automated classification of construction site hazard zones by crowd-sourced integrated density maps. In: Automation in Construction, v. 81 (September 2017). (2017):
- Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks. In: Automation in Construction, v. 94 (October 2018). (2018):