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  • Base de données et galerie internationale d'ouvrages d'art et du génie civil

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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Qiu, Qi / Gao, Mingchang / Zhou, Weiwei / Xu, Zujun / Kong, Congcong / Qiu, Liping / Zhang, Shoubin / Sun, Shaofang (2022): Enhanced Phosphorus Removal during Municipal Wastewater Treatment by the Biological Aeration Filter with Modified Steel Slags. Dans: Journal of Environmental Engineering (ASCE), v. 148, n. 5 (mai 2022).

    https://doi.org/10.1061/(asce)ee.1943-7870.0002003

  2. Qiu, Qi / Wang, Mengjun / Guo, Jingjing / Liu, Ziwen / Wang, Qian (2022): An adaptive down-sampling method of laser scan data for scan-to-BIM. Dans: Automation in Construction, v. 135 (mars 2022).

    https://doi.org/10.1016/j.autcon.2022.104135

  3. Wang, Qing’e / Lai, Wei / Ding, Mengmeng / Qiu, Qi (2021): Research on Cooperative Behavior of Green Technology Innovation in Construction Enterprises Based on Evolutionary Game. Dans: Buildings, v. 12, n. 1 (21 décembre 2021).

    https://doi.org/10.3390/buildings12010019

  4. He, Zheng / Chen, Huihua / Yan, Hongyan / Yin, Yang / Qiu, Qi / Wang, Tingpeng (2021): Scenario-Based Comprehensive Assessment for Community Resilience Adapted to Fire Following an Earthquake, Implementing the Analytic Network Process and Preference Ranking Organization Method for Enriched Evaluation II Techniques. Dans: Buildings, v. 11, n. 11 (8 novembre 2021).

    https://doi.org/10.3390/buildings11110523

  5. Qiu, Qi / Wang, Mengjun / Tang, Xiaoying / Wang, Qian (2021): Scan planning for existing buildings without BIM based on user-defined data quality requirements and genetic algorithm. Dans: Automation in Construction, v. 130 (octobre 2021).

    https://doi.org/10.1016/j.autcon.2021.103841

  6. Qiu, Qi / Zhou, Xiaoping / Zhao, Jichao / Yang, Yalong / Tian, Shunyu / Wang, Jia / Liu, Jiayin / Liu, Hui (2021): From sketch BIM to design BIM: An element identification approach using Industrial Foundation Classes and object recognition. Dans: Building and Environment, v. 188 (janvier 2021).

    https://doi.org/10.1016/j.buildenv.2020.107423

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