Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence

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Table (8)
Contents (8)

 name link intern personenkennziffer
0 C. Faulkner false 
1 D. Jankowski false 
2 John Castellini false 
3 Zuo Wangda false 
4 Philipp Epple https://www.hs-coburg.de/personen/prof-dr-philipp-epple/ true 
5 M. Sohn false 
6 Ali T. Z. Kasgari false 
7 Walid Saad false

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	name	link	intern
0	C. Faulkner		`false`
1	D. Jankowski		`false`
2	John Castellini		`false`
3	Zuo Wangda		`false`
4	Philipp Epple	https://www.hs-coburg.de/personen/prof-dr-philipp-epple/	`true`
5	M. Sohn		`false`
6	Ali T. Z. Kasgari		`false`
7	Walid Saad		`false`

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Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence

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Faulkner , C.; Jankowski, D.; Castellini, John; Wangda, Zuo; Epple, Philipp; Sohn, M.; Kasgari, Ali T. Z.; Saad, Walid (2023): Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence. Building Simulation. DOI: 10.1007/s12273-023-0989-1

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https://www.hs-coburg.de/publikation/3987-fast-prediction-of-indoor-airflow-distribution-inspired-by-synthetic-image-generation-artificial-intelligence/

The website of Coburg University of Applied Sciences was translated using translation software provided by a third-party provider such as DeepL. The official text is the German version of the website. No liability is assumed, either explicitly or implicitly, for the accuracy, reliability, or correctness of the translations into another language.

Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence

Titel:

Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence

Veröffentlichungsdatum:

13.03.2023

Publikationsart:

Zeitschriftenbeiträge

Forschungsschwerpunkt:

Medien:

Building Simulation

DOI:

https://doi.org/10.1007/s12273-023-0989-1

Weblink:

Heft:

Band:

Artikelnummer:

ISBN:

Autoren:

C. Faulkner, D. Jankowski, John Castellini, Zuo Wangda, Philipp Epple, M. Sohn, Ali T. Z. Kasgari, Walid Saad

Medien:

Building Simulation

Herausgeber:

Seiten:

Open Access:

Peer reviewed:

Zitierung:

Faulkner , C.; Jankowski, D.; Castellini, John; Wangda, Zuo; Epple, Philipp; Sohn, M.; Kasgari, Ali T. Z.; Saad, Walid (2023): Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence. Building Simulation. DOI: 10.1007/s12273-023-0989-1

Autoren:

C. Faulkner, D. Jankowski, John Castellini, Zuo Wangda, Philipp Epple, M. Sohn, Ali T. Z. Kasgari, Walid Saad

Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence

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