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Love, Peter E. D. / Leonard, Denis / Matthews, Jane / Ford, Gavin / Fang, Weili (2024): Setting a Course to Validate and Operationalize Quality II in Construction. In: Journal of Construction Engineering and Management, v. 150, n. 12 (Dezember 2024).
https://doi.org/10.1061/jcemd4.coeng-15451
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Wang, Juan / Luo, Hanbin / Peña-Mora, Feniosky / Zhou, Wei / Fang, Weili (2024): An Integrated BIM-IoT Framework for Real-Time Quality Monitoring in Construction Site. In: Journal of Construction Engineering and Management, v. 150, n. 11 (November 2024).
https://doi.org/10.1061/jcemd4.coeng-14984
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Xu, Sheng / Sun, Manfang / Kong, Yuanyuan / Fang, Weili / Zou, Patrick X. W. (2024): VR-Based Technologies: Improving Safety Training Effectiveness for a Heterogeneous Workforce from a Physiological Perspective. In: Journal of Management in Engineering (ASCE), v. 40, n. 5 (September 2024).
https://doi.org/10.1061/jmenea.meeng-6016
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Love, Peter E. D. / Matthews, Jane / Porter, Stuart / Carey, Brad / Fang, Weili (2023): Out with the Old, in with the New, introducing quality II: A New paradigm in construction. In: Developments in the Built Environment, v. 16 (Dezember 2023).
https://doi.org/10.1016/j.dibe.2023.100261
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Xu, Sheng / Sun, Manfang / Fang, Weili / Chen, Ke / Luo, Hanbin / Zou, Patrick X. W. (2023): A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework. In: Developments in the Built Environment, v. 13 (März 2023).
https://doi.org/10.1016/j.dibe.2022.100111
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Fang, Weili / Love, Peter E. D. / Luo, Hanbin / Xu, Shuangjie (2022): A deep learning fusion approach to retrieve images of People's unsafe behavior from construction sites. In: Developments in the Built Environment, v. 12 (Dezember 2022).
https://doi.org/10.1016/j.dibe.2022.100085
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Matthews, Jane / Love, Peter E. D. / Ika, Lavagnon A. / Fang, Weili (2022): Error aversion or management? Exploring the impact of culture at the sharp-end of production in a mega-project. In: Developments in the Built Environment, v. 10 (Mai 2022).
https://doi.org/10.1016/j.dibe.2022.100074
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Love, Peter E. D. / Matthews, Jane / Ika, Lavagnon A. / Fang, Weili (2022): Error culture and its impact on rework: An exploration of norms and practices in a transport mega-project. In: Developments in the Built Environment, v. 10 (Mai 2022).
https://doi.org/10.1016/j.dibe.2022.100067
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Chian, Eugene / Fang, Weili / Goh, Yang Miang / Tian, Jing (2021): Computer vision approaches for detecting missing barricades. In: Automation in Construction, v. 131 (November 2021).
https://doi.org/10.1016/j.autcon.2021.103862
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Love, Peter E. D. / Matthews, Jane / Fang, Weili (2021): Reflections on the Risk and Uncertainty of Rework in Construction. In: Journal of Construction Engineering and Management, v. 147, n. 4 (April 2021).
https://doi.org/10.1061/(asce)co.1943-7862.0002030
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Love, Peter E. D. / Matthews, Jane / Fang, Weili (2021): Envisioning Rework in Practice: Emergent Insights from a Longitudinal Study. In: Journal of Construction Engineering and Management, v. 147, n. 1 (Januar 2021).
https://doi.org/10.1061/(asce)co.1943-7862.0001960
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Love, Peter E. D. / Matthews, Jane / Fang, Weili (2020): Rework in Construction: A Focus on Error and Violation. In: Journal of Construction Engineering and Management, v. 146, n. 9 (September 2020).
https://doi.org/10.1061/(asce)co.1943-7862.0001901
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Fang, Weili / Ma, Ling / Love, Peter E. D. / Luo, Hanbin / Ding, Lieyun / Zhou, Ao (2020): Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology. In: Automation in Construction, v. 119 (November 2020).
https://doi.org/10.1016/j.autcon.2020.103310
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Zhong, Botao / Pan, Xing / Love, Peter E. D. / Ding, Lieyun / Fang, Weili (2020): Deep learning and network analysis: Classifying and visualizing accident narratives in construction. In: Automation in Construction, v. 113 (Mai 2020).
https://doi.org/10.1016/j.autcon.2020.103089
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Zhong, Botao / Li, Heng / Luo, Hanbin / Zhou, Jingyang / Fang, Weili / Xing, Xuejiao (2020): Ontology-Based Semantic Modeling of Knowledge in Construction: Classification and Identification of Hazards Implied in Images. In: Journal of Construction Engineering and Management, v. 146, n. 4 (April 2020).
https://doi.org/10.1061/(asce)co.1943-7862.0001767
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Fang, Weili / Ding, Lieyun / Love, Peter E. D. / Luo, Hanbin / Li, Heng / Peña-Mora, Feniosky / Zhong, Botao / Zhou, Cheng (2020): Computer vision applications in construction safety assurance. In: Automation in Construction, v. 110 (Februar 2020).
https://doi.org/10.1016/j.autcon.2019.103013
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Zhang, Limao / Wu, Xianguo / Skibniewski, Miroslaw J. / Fang, Weili / Deng, Qianli (2015): Conservation of historical buildings in tunneling environments: Case study of Wuhan metro construction in China. In: Construction and Building Materials, v. 82 (Mai 2015).
https://doi.org/10.1016/j.conbuildmat.2015.02.031
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Ding, Lieyun / Fang, Weili / Luo, Hanbin / Love, Peter E. D. / Zhong, Botao / Ouyang, Xi (2018): A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory. In: Automation in Construction, v. 86 (Februar 2018).
https://doi.org/10.1016/j.autcon.2017.11.002
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Fang, Weili / Ding, Lieyun / Luo, Hanbin / Love, Peter E. D. (2018): Falls from heights: A computer vision-based approach for safety harness detection. In: Automation in Construction, v. 91 (Juli 2018).
https://doi.org/10.1016/j.autcon.2018.02.018
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Luo, Hanbin / Xiong, Chaohua / Fang, Weili / Love, Peter E. D. / Zhang, Bowen / Ouyang, Xi (2018): Convolutional neural networks: Computer vision-based workforce activity assessment in construction. In: Automation in Construction, v. 94 (Oktober 2018).
https://doi.org/10.1016/j.autcon.2018.06.007
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Zhou, Cheng / Luo, Hanbin / Fang, Weili / Wei, Ran / Ding, Lieyun (2019): Cyber-physical-system-based safety monitoring for blind hoisting with the internet of things: A case study. In: Automation in Construction, v. 97 (Januar 2019).
https://doi.org/10.1016/j.autcon.2018.10.017