Optimizing the Durability of Buildings Against Earthquake-Induced Collapse by the Implementation of Deep Learning-Based Control Strategy-Reference-Cited by-同舟云学术

Optimizing the Durability of Buildings Against Earthquake-Induced Collapse by the Implementation of Deep Learning-Based Control Strategy

Published:2024 Issue: Volume:12 Page:121738-121752
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mamat Normaisharah¹^ORCID,Abdulghafor Rawad²,Turaev Sherzod³^ORCID,Yakub Fitri⁴^ORCID,Fauzi Bin Othman Mohd⁴

Affiliation:

1. Faculty of Artificial Intelligence, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

2. Faculty of Computer Studies (FVS), Arab Open University Oman, Muscat, Oman

3. Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates

4. Department of Electronic System Engineering, Malaysia-Japan International Institute of Technology, University Teknologi Malaysia, Kuala Lumpur, Malaysia

Funder

Sandooq Al Watan, United Arab Emirates, through United Arab Emirates University under SWARD Research

Big Data Analytics Center, United Arab Emirates, under UAEU Strategies Research

Arab Open University Oman under the Internal Grant-Research Office and Universiti Teknologi Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10662896.pdf?arnumber=10662896

Reference45 articles.

1. A New Method for the Identification of Earthquake-Damaged Buildings Using Sentinel-1 Multitemporal Coherence Optimized by Homogeneous SAR Pixels and Histogram Matching

2. Earthquakes, Intensity

3. A procedure for establishing fragility functions for seismic loss estimate of existing buildings based on nonlinear pushover analysis;Duan

4. Impact of local site conditions on portfolio earthquake loss estimation for different building types