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

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Qiushi He

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.

Gao, Wen / Lu, Shuai / Zhang, Xuanming / He, Qiushi / Huang, Weixin / Lin, Borong (2023): Impact of 3D modeling behavior patterns on the creativity of sustainable building design through process mining. Dans: Automation in Construction, v. 150 (juin 2023).
https://doi.org/10.1016/j.autcon.2023.104804
Gao, Wen / Zhang, Xuanming / He, Qiushi / Lin, Borong / Huang, Weixin (2022): Command prediction based on early 3D modeling design logs by deep neural networks. Dans: Automation in Construction, v. 133 (janvier 2022).
https://doi.org/10.1016/j.autcon.2021.104026
He, Qiushi / Li, Ziwei / Gao, Wen / Chen, Hongzhong / Wu, Xiaoying / Cheng, Xiaoxi / Lin, Borong (2021): Predictive models for daylight performance of general floorplans based on CNN and GAN: A proof-of-concept study. Dans: Building and Environment, v. 206 (décembre 2021).
https://doi.org/10.1016/j.buildenv.2021.108346
Lin, Borong / Chen, Hongzhong / Yu, Qiong / Zhou, Xiaoru / Lv, Shuai / He, Qiushi / Li, Ziwei (2021): MOOSAS – A systematic solution for multiple objective building performance optimization in the early design stage. Dans: Building and Environment, v. 200 (août 2021).
https://doi.org/10.1016/j.buildenv.2021.107929
Yu, Taofang / Chen, Hongzhong / Li, Ziwei / He, Qiushi / Lin, Borong (2021): An efficient method of evaluating large scale urban residential skylight environment and an empirical study of Beijing main area. Dans: Building Simulation, v. 14, n. 4 (février 2021).
https://doi.org/10.1007/s12273-020-0704-4
Lin, Borong / Chen, Hongzhong / Liu, Yanchen / He, Qiushi / Li, Ziwei (2020): A preference-based multi-objective building performance optimization method for early design stage. Dans: Building Simulation, v. 14, n. 3 (juillet 2020).
https://doi.org/10.1007/s12273-020-0673-7

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International Association for Bridge and Structural Engineering (IABSE)

e-mosty Magazine

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