Convolutional Neural Network (CNN) supported urban design to reduce particle air pollutant concentrations

Bai, Z. and Peng, C. orcid.org/0000-0001-8199-0955 (2023) Convolutional Neural Network (CNN) supported urban design to reduce particle air pollutant concentrations. In: Koh, I., Reinhardt, D., Makki, M., Khakhar, M. and Bao, N., (eds.) Human-Centric: Proceedings of the 28th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2023). 28th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2023), 21-23 Mar 2023, CEPT University Ahmedabad, India. CAADRIA , pp. 505-514. ISBN 9789887891796

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Koh, I.
  • Reinhardt, D.
  • Makki, M.
  • Khakhar, M.
  • Bao, N.
Copyright, Publisher and Additional Information:

© 2023 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong

Keywords: Built Environment and Design; Architecture; Sustainable Cities and Communities
Dates:
  • Published: 23 March 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture and Landscape
Depositing User: Symplectic Sheffield
Date Deposited: 07 Mar 2025 11:22
Last Modified: 07 Mar 2025 11:36
Published Version: https://caadria.org/downloads/
Status: Published
Publisher: CAADRIA
Refereed: Yes
Identification Number: 10.52842/conf.caadria.2023.1.505
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 11: Sustainable Cities and Communities
Open Archives Initiative ID (OAI ID):

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