Generative Adversarial Network Approach to Future Sermonizing of Housing Dispersal in Emerging Cities-Reference-Cited by-同舟云学术

Generative Adversarial Network Approach to Future Sermonizing of Housing Dispersal in Emerging Cities

Published:2022-03 Issue:1 Volume:148 Page:
ISSN:0733-9488
Container-title:Journal of Urban Planning and Development
language:en
Short-container-title:J. Urban Plann. Dev.

Author:

Ibrahim Hatem¹^ORCID,Khattab Ziad²,Khattab Tamer³,Abraham Revina⁴

Affiliation:

1. Associate Professor, Dept. of Architecture and Urban Planning, Qatar Univ., DOH., P.O. Box 2713, Doha, Qatar (corresponding author). ORCID: .

2. Undergraduate Student, School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA 15213.

3. Professor, Dept. of Electrical Engineering, Qatar Univ., DOH., P.O. Box 2713, Doha, Qatar.

4. Teaching Assistant, Dept. of Architecture and Urban Planning, Qatar Univ., DOH., P.O. Box 2713, Doha, Qatar.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Urban Studies,Development,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29UP.1943-5444.0000783

Reference41 articles.

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2. Modeling Urbanization Patterns with Generative Adversarial Networks

3. Spatio-temporal evolution of agricultural land use change drivers: A case study from Chalous region, Iran

4. Balbo, M., and G. Marconi. 2005. Global migration perspectives: Governing international migration in the city of the south. Geneva: Global Commission on International Migration, Università Iuav di Venezia.

5. Attitudes Towards Migrant Workers in the GCC: Evidence from Qatar

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