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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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Bibliografische gegevens
Hoofdauteurs: Moradi Hamed, Hashemi Tari Pooyan, Zomorodian Zahra Sadat, Mirzaei Parham A.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: EDP Sciences 2026-01-01
Reeks:E3S Web of Conferences
Online toegang:https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/07/e3sconf_ishvac2026_05007.pdf
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