FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions

Chen, D, Gao, X, Xu, C et al. (4 more authors) (2020) FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions. In: 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence. 32nd International Conference on Tools with Artificial Intelligence (ICTAI 2020), 09-11 Nov 2020, Baltimore, MD, USA. IEEE ISBN 978-1-7281-9228-4

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Item Type: Proceedings Paper
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Keywords: Flow fields prediction, Multi-source data processing, GAN, Predictive performance
Dates:
  • Published: November 2020
  • Accepted: 1 September 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 18 Sep 2020 11:22
Last Modified: 30 Apr 2021 20:42
Status: Published
Publisher: IEEE
Identification Number: 10.1109/ICTAI50040.2020.00057
Open Archives Initiative ID (OAI ID):

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