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Alexis K. H. Lau

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Li, Lu / He, Yingdong / Zhang, Hui / Fung, Jimmy C. H. / Lau, Alexis K. H. (2023): Enhancing IAQ, thermal comfort, and energy efficiency through an adaptive multi-objective particle swarm optimizer-grey wolf optimization algorithm for smart environmental control. In: Building and Environment, v. 235 (May 2023).

    https://doi.org/10.1016/j.buildenv.2023.110235

  2. Kwok, Helen H. L. / Cheng, Jack C. P. / Li, Alison T. Y. / Tong, Jimmy C. K. / Lau, Alexis K. H. (2022): Impact of shaft design to thermal comfort and indoor air quality of floors using BIM technology. In: Journal of Building Engineering, v. 51 (July 2022).

    https://doi.org/10.1016/j.jobe.2022.104326

  3. Li, Lu / Fu, Yunfei / Fung, Jimmy C. H. / Tse, Kam Tim / Lau, Alexis K. H. (2022): Development of a back-propagation neural network combined with an adaptive multi-objective particle swarm optimizer algorithm for predicting and optimizing indoor CO2 and PM2.5 concentrations. In: Journal of Building Engineering, v. 54 (August 2022).

    https://doi.org/10.1016/j.jobe.2022.104600

  4. Cheng, Jack C. P. / Kwok, Helen H. L. / Li, Alison T. Y. / Tong, Jimmy C. K. / Lau, Alexis K. H. (2022): BIM-supported sensor placement optimization based on genetic algorithm for multi-zone thermal comfort and IAQ monitoring. In: Building and Environment, v. 216 (May 2022).

    https://doi.org/10.1016/j.buildenv.2022.108997

  5. Li, Lu / Zhang, Yumiao / Fung, Jimmy C. H. / Qu, Huamin / Lau, Alexis K. H. (2022): A coupled computational fluid dynamics and back-propagation neural network-based particle swarm optimizer algorithm for predicting and optimizing indoor air quality. In: Building and Environment, v. 207 (January 2022).

    https://doi.org/10.1016/j.buildenv.2021.108533

  6. Li, Lu / Fu, Yunfei / Fung, Jimmy C. H. / Qu, Huamin / Lau, Alexis K. H. (2021): Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and optimization. In: Energy and Buildings, v. 253 (December 2021).

    https://doi.org/10.1016/j.enbuild.2021.111439

  7. Shakhaoat Hossain, Md / Che, Wenwei / Frey, H. Christopher / Lau, Alexis K. H. (2021): Factors affecting variability in infiltration of ambient particle and gaseous pollutants into home at urban environment. In: Building and Environment, v. 206 (December 2021).

    https://doi.org/10.1016/j.buildenv.2021.108351

  8. Che, Wenwei / Frey, H. Christopher / Fung, Jimmy C. H. / Ning, Zhi / Qu, Huamin / Lo, Hong Kam / Chen, Lei / Wong, Tze-Wai / Wong, Michelle K. M. / Lee, Ophelia C. W. / Carruthers, David / Cheung, Freeman / Chan, Jimmy W. M. / Yeung, David W. / Fung, Yik Him / Zhang, Xuguo / Stocker, Jenny / Hood, Christina / Hohenberger, Tilman Leo / Leung, King Wai / Louie, Phillip Y. K. / Li, Alison T. Y. / Sun, Li / Wei, Peng / Li, Zhiyuan / Zhang, Yumiao / Wang, Meilan / Shen, Qiaomu / Huang, Wei / Lee, Enoch / Patwary, Ashraf / Lei, Xiayu / Cheng, Steven / Shakhaoat Hossain, Md / Tang, Kimberly Tasha Jiayi / Lao, XiangQian / Leung, Rae / Chan, Denise / Li, Ying / Yuan, Zibing / Lau, Alexis K. H. (2020): PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management. In: Sustainable Cities and Society, v. 54 (March 2020).

    https://doi.org/10.1016/j.scs.2019.101986

  9. Che, Wen Wei / Tso, Chi Yan / Sun, Li / Ip, Danny Y. K. / Lee, Harry / Chao, Christopher Y. H. / Lau, Alexis K. H. (2019): Energy consumption, indoor thermal comfort and air quality in a commercial office with retrofitted heat, ventilation and air conditioning (HVAC) system. In: Energy and Buildings, v. 201 (October 2019).

    https://doi.org/10.1016/j.enbuild.2019.06.029

  10. Li, Zhiyuan / Fung, Jimmy C. H. / Lau, Alexis K. H. (2018): High spatiotemporal characterization of on-road PM2.5 concentrations in high-density urban areas using mobile monitoring. In: Building and Environment, v. 143 (October 2018).

    https://doi.org/10.1016/j.buildenv.2018.07.014

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