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Lieyun Ding

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Zhou, Ying / Wang, Yu / Li, Chenshuang / Ding, Lieyun / Yang, Zhigang (2024): Health and comfort oriented automatic generative design and optimization of residence space layout: An integrated data-driven and knowledge-based approach. In: Developments in the Built Environment, v. 17 (März 2024).

    https://doi.org/10.1016/j.dibe.2023.100318

  2. Zhou, Cheng / Gao, Yuyue / Chen, Elton J. / Ding, Lieyun / Qin, Wenbo (2023): Deep learning technologies for shield tunneling: Challenges and opportunities. In: Automation in Construction, v. 154 (Oktober 2023).

    https://doi.org/10.1016/j.autcon.2023.104982

  3. You, Ke / Zhou, Cheng / Ding, Lieyun (2023): Deep learning technology for construction machinery and robotics. In: Automation in Construction, v. 150 (Juni 2023).

    https://doi.org/10.1016/j.autcon.2023.104852

  4. Zhong, Botao / Pan, Xing / Ding, Lieyun / Chen, Qiang / Hu, Xiaowei (2023): Blockchain-driven integration technology for the AEC industry. In: Automation in Construction, v. 150 (Juni 2023).

    https://doi.org/10.1016/j.autcon.2023.104791

  5. Zhou, Ying / Wang, Yu / Li, Chenshuang / Ding, Lieyun / Wang, Cong (2022): Automatic generative design and optimization of hospital building layouts in consideration of public health emergency. In: Engineering, Construction and Architectural Management, v. 31, n. 4 (Dezember 2022).

    https://doi.org/10.1108/ecam-08-2022-0757

  6. Wei, Wei / Ding, Lieyun / Luo, Hanbin / Li, Chen / Li, Guowei (2021): Automated bughole detection and quality performance assessment of concrete using image processing and deep convolutional neural networks. In: Construction and Building Materials, v. 281 (April 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.122576

  7. Jiang, Weiguang / Ding, Lieyun / Zhou, Cheng (2022): Digital twin: Stability analysis for tower crane hoisting safety with a scale model. In: Automation in Construction, v. 138 (Juni 2022).

    https://doi.org/10.1016/j.autcon.2022.104257

  8. You, Ke / Ding, Lieyun / Zhou, Cheng / Dou, Quanli / Wang, Xuepeng / Hu, Bin (2021): 5G-based earthwork monitoring system for an unmanned bulldozer. In: Automation in Construction, v. 131 (November 2021).

    https://doi.org/10.1016/j.autcon.2021.103891

  9. Jiang, Weiguang / Ding, Lieyun / Zhou, Cheng (2021): Cyber physical system for safety management in smart construction site. In: Engineering, Construction and Architectural Management, v. 28, n. 3 ( 2021).

    https://doi.org/10.1108/ecam-10-2019-0578

  10. Sheng, Da / Ding, Lieyun / Zhong, Botao / Love, Peter E. D. / Luo, Hanbin / Chen, Jiageng (2020): Construction quality information management with blockchains. In: Automation in Construction, v. 120 (Dezember 2020).

    https://doi.org/10.1016/j.autcon.2020.103373

  11. Zhou, Cheng / Tang, Bin / Ding, Lieyun / Sekula, Przemyslaw / Zhou, Ying / Zhang, Zekun (2020): Design and automated assembly of Planetary LEGO Brick for lunar in-situ construction. In: Automation in Construction, v. 118 (Oktober 2020).

    https://doi.org/10.1016/j.autcon.2020.103282

  12. 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

  13. Liu, Wenli / Ding, Lieyun (2020): Global sensitivity analysis of influential parameters for excavation stability of metro tunnel. In: Automation in Construction, v. 113 (Mai 2020).

    https://doi.org/10.1016/j.autcon.2020.103080

  14. 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

  15. Zhang, Limao / Wu, Xianguo / Ding, Lieyun / Skibniewski, Miroslaw J. / Lu, Yujie (2016): BIM-based Risk Identification System in Tunnel Construction. In: Journal of Civil Engineering and Management, v. 22, n. 4 (August 2016).

    https://doi.org/10.3846/13923730.2015.1023348

  16. Zhou, Cheng / Xu, Hengcheng / Ding, Lieyun / Wei, Linchun / Zhou, Ying (2019): Dynamic prediction for attitude and position in shield tunneling: A deep learning method. In: Automation in Construction, v. 105 (September 2019).

    https://doi.org/10.1016/j.autcon.2019.102840

  17. Zhou, Cheng / Chen, Rui / Xu, Jie / Ding, Lieyun / Luo, Hanbin / Fan, Jian / Chen, Elton J. / Cai, Lixiong / Tang, Bin (2019): In-situ construction method for lunar habitation: Chinese Super Mason. In: Automation in Construction, v. 104 (August 2019).

    https://doi.org/10.1016/j.autcon.2019.03.024

  18. Guo, Shengyu / Ding, Lieyun / Zhang, Yongcheng / Skibniewski, Miroslaw J. / Liang, Kongzheng (2019): Hybrid Recommendation Approach for Behavior Modification in the Chinese Construction Industry. In: Journal of Construction Engineering and Management, v. 145, n. 6 (Juni 2019).

    https://doi.org/10.1061/(asce)co.1943-7862.0001665

  19. Zhou, Cheng / Ding, Lieyun / Zhou, Ying / Zhang, Hantao / Skibniewski, Miroslaw J. (2019): Hybrid Support Vector Machine Optimization Model for Prediction of Energy Consumption of Cutter Head Drives in Shield Tunneling. In: Journal of Computing in Civil Engineering, v. 33, n. 3 (Mai 2019).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000833

  20. Ding, Lieyun / Wang, Fan / Luo, Hanbin / Yu, Minghui / Wu, Xianguo (2013): Feedforward Analysis for Shield-Ground System. In: Journal of Computing in Civil Engineering, v. 27, n. 3 (Mai 2013).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000219

  21. 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

  22. 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

  23. Ding, Lieyun / Zhou, Ying / Akinci, Burcu (2014): Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD. In: Automation in Construction, v. 46 (Oktober 2014).

    https://doi.org/10.1016/j.autcon.2014.04.009

  24. Ding, Lieyun / Li, Kaiman / Zhou, Ying / Love, Peter E. D. (2017): An IFC-inspection process model for infrastructure projects: Enabling real-time quality monitoring and control. In: Automation in Construction, v. 84 (Dezember 2017).

    https://doi.org/10.1016/j.autcon.2017.08.029

  25. Zhou, Ying / Ding, Lieyun / Wang, Xiangyu / Truijens, Martijn / Luo, Hanbin (2015): Applicability of 4D modeling for resource allocation in mega liquefied natural gas plant construction. In: Automation in Construction, v. 50 (Februar 2015).

    https://doi.org/10.1016/j.autcon.2014.10.016

  26. Xu, Jie / Ding, Lieyun / Love, Peter E. D. (2017): Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing. In: Automation in Construction, v. 76 (April 2017).

    https://doi.org/10.1016/j.autcon.2017.01.010

  27. Zhou, Ying / Ding, Lieyun / Rao, Yang / Luo, Hanbin / Medjdoub, Benachir / Zhong, Hua (2017): Formulating project-level building information modeling evaluation framework from the perspectives of organizations: A review. In: Automation in Construction, v. 81 (September 2017).

    https://doi.org/10.1016/j.autcon.2017.05.004

  28. Fang, Qi / Li, Heng / Luo, Xiaochun / Ding, Lieyun / Luo, Hanbin / Li, Chengqian (2018): Computer vision aided inspection on falling prevention measures for steeplejacks in an aerial environment. In: Automation in Construction, v. 93 (September 2018).

    https://doi.org/10.1016/j.autcon.2018.05.022

  29. Fang, Qi / Li, Heng / Luo, Xiaochun / Ding, Lieyun / Luo, Hanbin / Rose, Timothy M. / An, Wangpeng (2018): Detecting non-hardhat-use by a deep learning method from far-field surveillance videos. In: Automation in Construction, v. 85 (Januar 2018).

    https://doi.org/10.1016/j.autcon.2017.09.018

  30. 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

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