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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. Na, HooSeung / Choi, Haneul / Kim, Haseong / Park, Dongjun / Lee, Joosang / Kim, Taeyeon (2023): Optimizing indoor air quality and noise levels in old school classrooms with air purifiers and HRV: A CONTAM simulation study. In: Journal of Building Engineering, v. 73 (August 2023).

    https://doi.org/10.1016/j.jobe.2023.106645

  2. Na, HooSeung / Kim, Hyungkeun / Kim, Taeyeon (2023): Dispersion of droplets due to the use of air purifiers during summer: Focus on the spread of COVID-19. In: Building and Environment, v. 234 (April 2023).

    https://doi.org/10.1016/j.buildenv.2023.110136

  3. Choi, Haneul / Lee, Joosang / Yi, Yeajin / Na, HooSeung / Kang, Kyungmo / Kim, Taeyeon (2022): Deep vision-based occupancy counting: Experimental performance evaluation and implementation of ventilation control. In: Building and Environment, v. 223 (September 2022).

    https://doi.org/10.1016/j.buildenv.2022.109496

  4. Choi, Haneul / Jeong, Bonghoon / Lee, Joosang / Na, HooSeung / Kang, Kyungmo / Kim, Taeyeon (2022): Deep-vision-based metabolic rate and clothing insulation estimation for occupant-centric control. In: Building and Environment, v. 221 (August 2022).

    https://doi.org/10.1016/j.buildenv.2022.109345

  5. Choi, Haneul / Na, HooSeung / Kim, Taehung / Kim, Taeyeon (2021): Vision-based estimation of clothing insulation for building control: A case study of residential buildings. In: Building and Environment, v. 202 (September 2021).

    https://doi.org/10.1016/j.buildenv.2021.108036

  6. Na, HooSeung / Choi, Haneul / Kim, Taeyeon (2020): Metabolic rate estimation method using image deep learning. In: Building Simulation, v. 13, n. 5 (September 2020).

    https://doi.org/10.1007/s12273-020-0707-1

  7. Na, HooSeung / Choi, Joon-Ho / Kim, HoSeong / Kim, Taeyeon (2019): Development of a human metabolic rate prediction model based on the use of Kinect-camera generated visual data-driven approaches. In: Building and Environment, v. 160 (August 2019).

    https://doi.org/10.1016/j.buildenv.2019.106216

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