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Jack Ngarambe ORCID

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. Ngarambe, Jack / Duhirwe, Patrick Nzivugira / Van Quang, Tran / Nzarigema, Jean d’Amour / Yun, Geun Young (2023): Coupling convolutional neural networks with gated recurrent units to model illuminance distribution from light pipe systems. Dans: Building and Environment, v. 237 (juin 2023).

    https://doi.org/10.1016/j.buildenv.2023.110276

  2. Duhirwe, Patrick Nzivugira / Ngarambe, Jack / Yun, Geun Young (2023): Energy-efficient virtual sensor-based deep reinforcement learning control of indoor CO2 in a kindergarten. Dans: Frontiers of Architectural Research, v. 12, n. 2 (avril 2023).

    https://doi.org/10.1016/j.foar.2022.10.003

  3. Ngarambe, Jack / Adilkhanova, Indira / Uwiragiye, Beatha / Yun, Geun Young (2022): A review on the current usage of machine learning tools for daylighting design and control. Dans: Building and Environment, v. 223 (septembre 2022).

    https://doi.org/10.1016/j.buildenv.2022.109507

  4. Duhirwe, Patrick Nzivugira / Ngarambe, Jack / Yun, Geun Young (2022): Geographically extended occupant clothing behavior model using convolutional neural networks with hyperband technique. Dans: Journal of Building Engineering, v. 49 (mai 2022).

    https://doi.org/10.1016/j.jobe.2022.104023

  5. Ngarambe, Jack / Oh, Jin Woo / Su, Mi Aye / Santamouris, Mat / Yun, Geun Young (2021): Influences of wind speed, sky conditions, land use and land cover characteristics on the magnitude of the urban heat island in Seoul: An exploratory analysis. Dans: Sustainable Cities and Society, v. 71 (août 2021).

    https://doi.org/10.1016/j.scs.2021.102953

  6. Ngarambe, Jack / Lim, Hong Soo / Kim, Gon (2018): Light pollution: Is there an Environmental Kuznets Curve?. Dans: Sustainable Cities and Society, v. 42 (octobre 2018).

    https://doi.org/10.1016/j.scs.2018.07.018

  7. Ngarambe, Jack / Yun, Geun Young / Santamouris, Mat (2020): The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls. Dans: Energy and Buildings, v. 211 (mars 2020).

    https://doi.org/10.1016/j.enbuild.2020.109807

  8. Ngarambe, Jack / Yun, Geun Young / Kim, Gon (2019): Prediction of indoor clothing insulation levels: A deep learning approach. Dans: Energy and Buildings, v. 202 (novembre 2019).

    https://doi.org/10.1016/j.enbuild.2019.109402

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