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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. Xie, Hao / Ma, Xiao / Mei, Qipei / Chui, Ying Hei: A semi‐supervised approach for building wall layout segmentation based on transformers and limited data. In: Computer-Aided Civil and Infrastructure Engineering.

    https://doi.org/10.1111/mice.13397

  2. Wang, Zhong / González, Vicente A. / Mei, Qipei / Lee, Gaang (2025): Sensor adoption in the construction industry: Barriers, opportunities, and strategies. In: Automation in Construction, v. 170 (Februar 2025).

    https://doi.org/10.1016/j.autcon.2024.105937

  3. Fan, Chao / Mei, Qipei / Li, Xinming (2024): 3D pose estimation dataset and deep learning-based ergonomic risk assessment in construction. In: Automation in Construction, v. 164 (August 2024).

    https://doi.org/10.1016/j.autcon.2024.105452

  4. Talebi-Kalaleh, Mohammad / Mei, Qipei (2024): Damage Detection in Bridge Structures through Compressed Sensing of Crowdsourced Smartphone Data. In: Structural Control and Health Monitoring, v. 2024 (Januar 2024).

    https://doi.org/10.1155/2024/5436675

  5. Yang, Qiuling / Mei, Qipei / Fan, Chao / Ma, Meng / Li, Xinming (2023): Environment-Aware Worker Trajectory Prediction Using Surveillance Camera in Modular Construction Facilities. In: Buildings, v. 13, n. 6 (23 Mai 2023).

    https://doi.org/10.3390/buildings13061502

  6. Mei, Qipei / Gül, Mustafa (2018): A crowdsourcing-based methodology using smartphones for bridge health monitoring. In: Structural Health Monitoring, v. 18, n. 5-6 (September 2018).

    https://doi.org/10.1177/1475921718815457

  7. Mei, Qipei / Gül, Mustafa (2019): Multi-level feature fusion in densely connected deep-learning architecture and depth-first search for crack segmentation on images collected with smartphones. In: Structural Health Monitoring, v. 19, n. 6 (Dezember 2019).

    https://doi.org/10.1177/1475921719896813

  8. Mei, Qipei / Gül, Mustafa (2019): Monitoring Populations of Bridges in Smart Cities Using Smartphones. Vorgetragen bei: Structures Congress 2019, Orlando, Florida, 24-27 April 2019.

    https://doi.org/10.1061/9780784482230.004

  9. Mei, Qipei / Gül, Mustafa (2020): A cost effective solution for pavement crack inspection using cameras and deep neural networks. In: Construction and Building Materials, v. 256 (September 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.119397

  10. Shirzad-Ghaleroudkhani, Nima / Mei, Qipei / Gül, Mustafa (2020): Frequency Identification of Bridges Using Smartphones on Vehicles with Variable Features. In: Journal of Bridge Engineering (ASCE), v. 25, n. 7 (Juli 2020).

    https://doi.org/10.1061/(asce)be.1943-5592.0001565

  11. Mei, Qipei / Gül, Mustafa / Azim, Md Riasat (2020): Densely connected deep neural network considering connectivity of pixels for automatic crack detection. In: Automation in Construction, v. 110 (Februar 2020).

    https://doi.org/10.1016/j.autcon.2019.103018

  12. Gislason, Gregory Patrick / Mei, Qipei / Gül, Mustafa (2019): Rapid and Automated Damage Detection in Buildings Through ARMAX Analysis of Wind Induced Vibrations. In: Frontiers in Built Environment, v. 5 (November 2019).

    https://doi.org/10.3389/fbuil.2019.00016

  13. Mei, Qipei / Gül, Mustafa (2015): Novel Sensor Clustering–Based Approach for Simultaneous Detection of Stiffness and Mass Changes Using Output-Only Data. In: Journal of Structural Engineering (ASCE), v. 141, n. 10 (Oktober 2015).

    https://doi.org/10.1061/(asce)st.1943-541x.0001218

  14. Mei, Qipei / Gül, Mustafa (2016): fixed-order time series model for damage detection and localization. In: Journal of Civil Structural Health Monitoring, v. 6, n. 5 (November 2016).

    https://doi.org/10.1007/s13349-016-0196-1

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