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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. Jung, Seunghoon / Jeoung, Jaewon / Hong, Taehoon / Jang, Hyounseung (2024): Vision-based multi-label detection framework for capturing occupant action and clothing information using large-scale dataset. Dans: Building and Environment, v. 257 (juin 2024).

    https://doi.org/10.1016/j.buildenv.2024.111537

  2. Jeoung, Jaewon / Jung, Seunghoon / Hong, Taehoon / Lee, Minhyun / Koo, ChoongWan (2023): Thermal comfort prediction based on automated extraction of skin temperature of face component on thermal image. Dans: Energy and Buildings, v. 298 (novembre 2023).

    https://doi.org/10.1016/j.enbuild.2023.113495

  3. Jung, Seunghoon / Jeoung, Jaewon / Lee, Dong‐Eun / Jang, Hyounseung / Hong, Taehoon (2023): Visual–auditory learning network for construction equipment action detection. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 14 (juillet 2023).

    https://doi.org/10.1111/mice.12983

  4. Kang, Hyuna / Jung, Seunghoon / Jeoung, Jaewon / Hong, Juwon / Hong, Taehoon (2023): A bi-level reinforcement learning model for optimal scheduling and planning of battery energy storage considering uncertainty in the energy-sharing community. Dans: Sustainable Cities and Society, v. 94 (juillet 2023).

    https://doi.org/10.1016/j.scs.2023.104538

  5. Baek, Hoyoung / Jung, Seunghoon / Hong, Juwon / Hong, Taehoon (2023): Simulation-based framework for optimal construction equipment allocation considering construction noise emissions. Dans: Journal of Asian Architecture and Building Engineering, v. 22, n. 5 (janvier 2023).

    https://doi.org/10.1080/13467581.2023.2172324

  6. Jeoung, Jaewon / Jung, Seunghoon / Hong, Taehoon / Choi, Jun-Ki (2022): Blockchain-based IoT system for personalized indoor temperature control. Dans: Automation in Construction, v. 140 (août 2022).

    https://doi.org/10.1016/j.autcon.2022.104339

  7. Jung, Seunghoon / Jeoung, Jaewon / Hong, Taehoon (2022): Occupant-centered real-time control of indoor temperature using deep learning algorithms. Dans: Building and Environment, v. 208 (janvier 2022).

    https://doi.org/10.1016/j.buildenv.2021.108633

  8. Jung, Seunghoon / Jeoung, Jaewon / Kang, Hyuna / Hong, Taehoon (2022): 3D convolutional neural network‐based one‐stage model for real‐time action detection in video of construction equipment. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 1 (20 décembre 2022).

    https://doi.org/10.1111/mice.12695

  9. Jung, Seunghoon / Kang, Hyuna / Lee, Minhyun / Hong, Taehoon (2020): An optimal scheduling model of an energy storage system with a photovoltaic system in residential buildings considering the economic and environmental aspects. Dans: Energy and Buildings, v. 209 (février 2020).

    https://doi.org/10.1016/j.enbuild.2019.109701

  10. Kang, Hyuna / Hong, Taehoon / Jung, Seunghoon / Lee, Minhyun (2019): Techno-economic performance analysis of the smart solar photovoltaic blinds considering the photovoltaic panel type and the solar tracking method. Dans: Energy and Buildings, v. 193 (juin 2019).

    https://doi.org/10.1016/j.enbuild.2019.03.042

  11. Jung, Seunghoon / Kang, Hyuna / Choi, Jinwoo / Hong, Taehoon / Seon Park, Hyo / Lee, Dong-Eun (2020): Quantitative health impact assessment of construction noise exposure on the nearby region for noise barrier optimization. Dans: Building and Environment, v. 176 (juin 2020).

    https://doi.org/10.1016/j.buildenv.2020.106869

  12. Hong, Juwon / Kang, Hyuna / Jung, Seunghoon / Sung, Seulki / Hong, Taehoon / Seon Park, Hyo / Lee, Dong-Eun (2020): An empirical analysis of environmental pollutants on building construction sites for determining the real-time monitoring indices. Dans: Building and Environment, v. 170 (mars 2020).

    https://doi.org/10.1016/j.buildenv.2019.106636

  13. Jung, Seunghoon / Kang, Hyuna / Sung, Seulki / Hong, Taehoon (2019): Health risk assessment for occupants as a decision-making tool to quantify the environmental effects of particulate matter in construction projects. Dans: Building and Environment, v. 161 (août 2019).

    https://doi.org/10.1016/j.buildenv.2019.106267

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