Towards an earthquake-resistant architectural design with the image classification method-Reference-Cited by-同舟云学术

Towards an earthquake-resistant architectural design with the image classification method

Published:2023-05-22 Issue:1 Volume:23 Page:157-170
ISSN:1346-7581
Container-title:Journal of Asian Architecture and Building Engineering
language:en
Short-container-title:Journal of Asian Architecture and Building Engineering

Author:

Er Akan Aslı¹^ORCID,Bingol Kaan²^ORCID,Örmecioğlu Hilal Tuğba³^ORCID,Er Arzu⁴^ORCID,Örmecioğlu Tevfik Oğuz⁵^ORCID

Affiliation:

1. Department of Architecture, Cankaya University Faculty of Architecture, Ankara, Turkiye

2. Informatics-Innovation Center, Middle East Technical University, Ankara, Turkiye

3. Department of Architecture, Akdeniz University Faculty of Architecture, Antalya, Turkiye

4. Department of Construction Technology, Akdeniz University Technical Sciences Vocational School of Higher Education, Antalya, Turkiye

5. Department of Civil Engineering, Akdeniz University Faculty of Engineering, Antalya, Turkiye

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Building and Construction,Cultural Studies,Architecture,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13467581.2023.2213299

Reference41 articles.

1. Employing Machine Learning and IoT for Earthquake Early Warning System in Smart Cities

2. An Optimized Learning Model Augment Analyst Decisions for Seismic Source Discrimination

3. ASCE (American Society of Civil Engineers). 2017. ’ Minimum design loads and associated criteria for buildings and other structures: ASCE Standard 72 . Accessed 3 March 2023. https://www.asce.org/publications-and-news/asce-7

4. Bingöl, K. 2020. ‘Depreme dayanikli mimari tasarim aşamasinda derin öğrenme ve görüntü siralama yöntemi ile burulma düzensizliği tespiti’. Unpublished MArch Thesis. Çankaya University.

5. Depreme dayanıklı mimari tasarımda yapay zeka uygulamaları: Derin öğrenme ve görüntü işleme yöntemi ile düzensiz taşıyıcı sistem tespiti

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