A Pix2pix-based indoor airflow prediction in classrooms
Air quality in educational environments significantly impacts students’ cognitive performance and well-being. Hence, developing accurate and swift predictive models is essential for mitigating indoor air quality risks during the early-stage design of ventilation system duct layouts. This study inves...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
EDP Sciences
2026-01-01
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| Edice: | E3S Web of Conferences |
| On-line přístup: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/07/e3sconf_ishvac2026_05007.pdf |
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