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

  1. Wang, Xin / Veeramani, Dharmaraj / Dai, Fei / Zhu, Zhenhua (2024): Context‐aware hand gesture interaction for human–robot collaboration in construction. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 22 (November 2024).

    https://doi.org/10.1111/mice.13202

  2. Wang, Xin / Han, Wei / Du, Eric / Dai, Fei / Zhu, Zhenhua (2024): An Eye Gaze-Aided Virtual Tape Measure for Smart Construction. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 51, n. 4 (April 2024).

    https://doi.org/10.1139/cjce-2023-0056

  3. Liu, Hexu / Han, SangHyeok / Zhu, Zhenhua (2023): Blockchain Technology toward Smart Construction: Review and Future Directions. In: Journal of Construction Engineering and Management, v. 149, n. 3 (März 2023).

    https://doi.org/10.1061/jcemd4.coeng-11929

  4. Abu Dabous, Saleh / Rashidi, Maria / Zhu, Zhenhua / Alzraiee, Hani / Mantha, Bharadwaj R. K. / Alsharqawi, Mohammad (2023): Automation and artificial intelligence in construction and management of civil infrastructure. In: Frontiers in Built Environment, v. 9 (Februar 2023).

    https://doi.org/10.3389/fbuil.2023.1155240

  5. Chen, Chen / Xiao, Bo / Zhang, Yuxuan / Zhu, Zhenhua (2023): Automatic vision-based calculation of excavator earthmoving productivity using zero-shot learning activity recognition. In: Automation in Construction, v. 146 (Februar 2023).

    https://doi.org/10.1016/j.autcon.2022.104702

  6. Dawood, Thikra / Elwakil, Emad / Zayed, Tarek / Zhu, Zhenhua (2022): Data fusion of multiple machine intelligent systems for the condition assessment of subway structures. In: Tunnelling and Underground Space Technology, v. 126 (August 2022).

    https://doi.org/10.1016/j.tust.2022.104512

  7. Chen, Chen / Zhu, Zhenhua / Hammad, Amin (2022): Critical Review and Road Map of Automated Methods for Earthmoving Equipment Productivity Monitoring. In: Journal of Computing in Civil Engineering, v. 36, n. 3 (Mai 2022).

    https://doi.org/10.1061/(asce)cp.1943-5487.0001017

  8. Chen, Chen / Zhu, Zhenhua / Hammad, Amin / Akbarzadeh, Mohammad (2021): Automatic Identification of Idling Reasons in Excavation Operations Based on Excavator–Truck Relationships. In: Journal of Computing in Civil Engineering, v. 35, n. 5 (September 2021).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000981

  9. Zhu, Zhenhua / Dutta, Amrita / Dai, Fei (2021): Exoskeletons for manual material handling – A review and implication for construction applications. In: Automation in Construction, v. 122 (Februar 2021).

    https://doi.org/10.1016/j.autcon.2020.103493

  10. Dawood, Thikra / Zhu, Zhenhua / Zayed, Tarek (2020): Deterioration mapping in subway infrastructure using sensory data of GPR. In: Tunnelling and Underground Space Technology, v. 103 (September 2020).

    https://doi.org/10.1016/j.tust.2020.103487

  11. Chu, Wenjing / Han, SangHyeok / Luo, Xiaowei / Zhu, Zhenhua (2020): Monocular Vision–Based Framework for Biomechanical Analysis or Ergonomic Posture Assessment in Modular Construction. In: Journal of Computing in Civil Engineering, v. 34, n. 4 (Juli 2020).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000897

  12. Chen, Chen / Zhu, Zhenhua / Hammad, Amin (2020): Automated excavators activity recognition and productivity analysis from construction site surveillance videos. In: Automation in Construction, v. 110 (Februar 2020).

    https://doi.org/10.1016/j.autcon.2019.103045

  13. Moayeri, Valeh / Moselhi, Osama / Zhu, Zhenhua (2017): Design Change Management Using BIM-based Visualization Model. In: International Journal of Architecture Engineering and Construction, v. 6, n. 1 (März 2017).

    https://doi.org/10.7492/ijaec.2017.001

  14. Soltani, Mohammad Mostafa / Zhu, Zhenhua / Hammad, Amin (2018): Framework for Location Data Fusion and Pose Estimation of Excavators Using Stereo Vision. In: Journal of Computing in Civil Engineering, v. 32, n. 6 (November 2018).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000783

  15. Dawood, Thikra / Zhu, Zhenhua / Zayed, Tarek (2018): Computer Vision–Based Model for Moisture Marks Detection and Recognition in Subway Networks. In: Journal of Computing in Civil Engineering, v. 32, n. 2 (März 2018).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000728

  16. Zhu, Zhenhua / Davari, Khashayar (2015): Comparison of Local Visual Feature Detectors and Descriptors for the Registration of 3D Building Scenes. In: Journal of Computing in Civil Engineering, v. 29, n. 5 (September 2015).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000381

  17. Zhu, Zhenhua / Brilakis, Ioannis (2009): Comparison of Optical Sensor-Based Spatial Data Collection Techniques for Civil Infrastructure Modeling. In: Journal of Computing in Civil Engineering, v. 23, n. 3 (Mai 2009).

    https://doi.org/10.1061/(asce)0887-3801(2009)23:3(170)

  18. Zhu, Zhenhua / Brilakis, Ioannis (2010): Concrete Column Recognition in Images and Videos. In: Journal of Computing in Civil Engineering, v. 24, n. 6 (November 2010).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000053

  19. German, Stephanie / Jeon, Jong-Su / Zhu, Zhenhua / Bearman, Cal / Brilakis, Ioannis / DesRoches, Reginald / Lowes, Laura (2013): Machine Vision-Enhanced Postearthquake Inspection. In: Journal of Computing in Civil Engineering, v. 27, n. 6 (November 2013).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000333

  20. Shahandashti, Seyed Mohsen / Razavi, Saiedeh N. / Soibelman, Lucio / Berges, Mario / Caldas, Carlos H. / Brilakis, Ioannis / Teizer, Jochen / Vela, Patricio A. / Haas, Carl / Garrett, James / Akinci, Burcu / Zhu, Zhenhua (2011): Data-Fusion Approaches and Applications for Construction Engineering. In: Journal of Construction Engineering and Management, v. 137, n. 10 (Oktober 2011).

    https://doi.org/10.1061/(asce)co.1943-7862.0000287

  21. Park, Man-Woo / Elsafty, Nehad / Zhu, Zhenhua (2015): Hardhat-Wearing Detection for Enhancing On-Site Safety of Construction Workers. In: Journal of Construction Engineering and Management, v. 141, n. 9 (September 2015).

    https://doi.org/10.1061/(asce)co.1943-7862.0000974

  22. Zhang, Bingfei / Zhu, Zhenhua / Hammad, Amin / Aly, Walid (2018): Automatic matching of construction onsite resources under camera views. In: Automation in Construction, v. 91 (Juli 2018).

    https://doi.org/10.1016/j.autcon.2018.03.011

  23. Tajeen, Humaira / Zhu, Zhenhua (2014): Image dataset development for measuring construction equipment recognition performance. In: Automation in Construction, v. 48 (Dezember 2014).

    https://doi.org/10.1016/j.autcon.2014.07.006

  24. Soltani, Mohammad Mostafa / Zhu, Zhenhua / Hammad, Amin (2016): Automated annotation for visual recognition of construction resources using synthetic images. In: Automation in Construction, v. 62 (Februar 2016).

    https://doi.org/10.1016/j.autcon.2015.10.002

  25. Dawood, Thikra / Zhu, Zhenhua / Zayed, Tarek (2017): Machine vision-based model for spalling detection and quantification in subway networks. In: Automation in Construction, v. 81 (September 2017).

    https://doi.org/10.1016/j.autcon.2017.06.008

  26. Zhu, Zhenhua / Ren, Xiaoning / Chen, Zhi (2017): Integrated detection and tracking of workforce and equipment from construction jobsite videos. In: Automation in Construction, v. 81 (September 2017).

    https://doi.org/10.1016/j.autcon.2017.05.005

  27. Zhu, Zhenhua / Brilakis, Ioannis (2010): Machine Vision-Based Concrete Surface Quality Assessment. In: Journal of Construction Engineering and Management, v. 136, n. 2 (Februar 2010).

    https://doi.org/10.1061/(asce)co.1943-7862.0000126

  28. Guzmán Garcia, Elizabeth / Zhu, Zhenhua (2015): Interoperability from building design to building energy modeling. In: Journal of Building Engineering, v. 1 (März 2015).

    https://doi.org/10.1016/j.jobe.2015.03.001

  29. Zhu, Zhenhua / Brilakis, Ioannis (2010): Parameter optimization for automated concrete detection in image data. In: Automation in Construction, v. 19, n. 7 (November 2010).

    https://doi.org/10.1016/j.autcon.2010.06.008

  30. Moayeri, Valeh / Moselhi, Osama / Zhu, Zhenhua (2017): BIM-based model for quantifying the design change time ripple effect. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 44, n. 8 (August 2017).

    https://doi.org/10.1139/cjce-2016-0413

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