Machine Learning for Enhanced Regional Seismic Risk Assessments-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine Learning for Enhanced Regional Seismic Risk Assessments

Published:2022-09 Issue:9 Volume:148 Page:
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Kourehpaz Pouria¹^ORCID,Molina Hutt Carlos²^ORCID

Affiliation:

1. Graduate Research Assistant, Dept. of Civil Engineering, Univ. of British Columbia, Vancouver, BC, Canada V6T 1Z4. ORCID: .

2. Assistant Professor, Dept. of Civil Engineering, Univ. of British Columbia, Vancouver, BC, Canada V6T 1Z4 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ST.1943-541X.0003421

Reference62 articles.

1. A Multiple Resampling Method for Learning from Imbalanced Data Sets

2. Awoyemi J. O. A. O. Adetunmbi and S. A. Oluwadare. 2017. “Credit card fraud detection using machine learning techniques: A comparative analysis.” In Proc. Int. Conf. on Computing Networking and Informatics ICCNI 2017. New York: IEEE. https://doi.org/10.1109/ICCNI.2017.8123782.

3. Empirical equations for the prediction of displacement spectrum intensity and its correlation with other intensity measures

4. Classification And Regression Trees

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TransFrameNet: A transformer-based approach for generalized seismic performance prediction of building structures;Journal of Building Engineering;2024-11

2. Real-time seismic damage simulation for urban building portfolio based on basic building information and machine learning;International Journal of Disaster Risk Reduction;2024-09

3. A Hybrid Synthetic Minority Oversampling Technique and Deep Neural Network Framework for Improving Rice Yield Estimation in an Open Environment;Agronomy;2024-08-24

4. Application of an Improved Method Combining Machine Learning–Principal Component Analysis for the Fragility Analysis of Cross-Fault Hydraulic Tunnels;Buildings;2024-08-23

5. Machine-learning-aided regional post-seismic usability prediction of buildings: 2016–2017 Central Italy earthquakes;Journal of Building Engineering;2024-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3