Automated building classification framework using convolutional neural network-Reference-Cited by-同舟云学术

Automated building classification framework using convolutional neural network

Published:2022-05-02 Issue:1 Volume:9 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Adha Augusta¹²^ORCID,Pamuncak Arya¹^ORCID,Qiao Wen³^ORCID,Laory Irwanda¹^ORCID

Affiliation:

1. School of Engineering, University of Warwick, Coventry, CV4 7AL, UK

2. Department of Civil Engineering, Universitas Islam Riau, Pekanbaru, 28284, Indonesia

3. School of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou, Hong Kong China

Funder

Indonesia Endowment Fund for Education

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2022.2065900

Reference38 articles.

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2. Rapid visual screening of different housing typologies in Himachal Pradesh, India

3. Buildings’ seismic vulnerability assessment methods: a comparative study

4. A Rapid Seismic Risk Assessment Method for Existing Building Stock in Urban Areas

5. ATC. (1985) . ATC 13th edition:Earthquake damage evaluation data for California .Applied Technology Council . http://nisee.berkeley.edu/elibrary/Text/S22323

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