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Chaoyi Hu

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. Wang, Xiang / Hu, Chaoyi / Kikumoto, Hideki / Jia, Hongyuan / Nakao, Keisuke / Ooka, Ryozo (2024): Data extension of high-resolution wind speed database by fusing meteorological observation and local objective analysis data with POD–LSE. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 252 (septembre 2024).

    https://doi.org/10.1016/j.jweia.2024.105812

  2. Hu, Chaoyi / Kikumoto, Hideki / Zhang, Bingchao / Jia, Hongyuan (2024): Fast estimation of airflow distribution in an urban model using generative adversarial networks with limited sensing data☆. Dans: Building and Environment, v. 249 (février 2024).

    https://doi.org/10.1016/j.buildenv.2023.111120

  3. Jia, Hongyuan / Hu, Chaoyi / Kikumoto, Hideki (2023): Effects of sensor configuration optimization on airflow estimation in urban environment: A case study with a building group model. Dans: Sustainable Cities and Society, v. 98 (novembre 2023).

    https://doi.org/10.1016/j.scs.2023.104840

  4. Hu, Chaoyi / Jia, Hongyuan / Kikumoto, Hideki (2023): Estimation of instantaneous airflow distribution in cubic building group model using multi-time-delay LSE-POD. Dans: Building and Environment, v. 243 (septembre 2023).

    https://doi.org/10.1016/j.buildenv.2023.110642

  5. Zhang, Bingchao / Ooka, Ryozo / Kikumoto, Hideki / Hu, Chaoyi / Tse, Tim K. T. (2022): Towards real-time prediction of velocity field around a building using generative adversarial networks based on the surface pressure from sparse sensor networks. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 231 (décembre 2022).

    https://doi.org/10.1016/j.jweia.2022.105243

  6. Hu, Chaoyi / Jia, Hongyuan / Kikumoto, Hideki (2022): Estimation of airflow distribution in cubic building group model using POD-LSE and limited sensors. Dans: Building and Environment, v. 221 (août 2022).

    https://doi.org/10.1016/j.buildenv.2022.109324

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