An indoor airflow distribution predictor using machine learning for a real-time healthy building monitoring system in the tropics
| Autor(en): |
Faridah Faridah
(Department of Nuclear Engineering and Engineering Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia)
Sentagi Sesotya Utami
(Department of Nuclear Engineering and Engineering Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia)
Dinta Dwi Agung Wijaya
(Institute for Environmental Design and Engineering, University College London, London, UK)
Ressy Jaya Yanti
(Department of Nuclear Engineering and Engineering Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia)
Wahyu Sukestyastama Putra
(Department of Nuclear Engineering and Engineering Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia)
Billie Adrian
(Department of Nuclear Engineering and Engineering Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia)
|
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Building Services Engineering Research and Technology, März 2024, n. 3, v. 45 |
| Seite(n): | 293-315 |
| DOI: | 10.1177/01436244241231354 |
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Datenseite - Reference-ID
10760901 - Veröffentlicht am:
23.03.2024 - Geändert am:
20.09.2024
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