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Development of model to predict natural disaster-induced financial losses for construction projects using deep learning techniques
Ji-Myong Kim
, Junseo Bae
, Seunghyun Son
, Kiyoung Son
, Sang-Guk Yum
*
*
Corresponding author for this work
School of Computing, Engineering and Physical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
15
Citations (Scopus)
34
Downloads (Pure)
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Dive into the research topics of 'Development of model to predict natural disaster-induced financial losses for construction projects using deep learning techniques'. Together they form a unique fingerprint.
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Keyphrases
Natural Disasters
100%
Construction Projects
100%
Deep Learning Methods
100%
Financial Loss
100%
Construction Site
66%
Construction Project Management
33%
Deep Learning Algorithm
22%
Urban Areas
11%
Management Research
11%
Prediction Model
11%
Insurance Companies
11%
High-rise Building
11%
South Korea
11%
Payout
11%
Complex Buildings
11%
Scientific Prediction
11%
Loss Management
11%
Construction Scale
11%
Effective Construction
11%
Loss Prediction Model
11%
Engineering
Construction Site
100%
Learning Technique
100%
Deep Learning Method
100%
Construction Project Management
50%
Rise Building
16%
Earth and Planetary Sciences
Natural Disaster
100%
High-Rise Building
50%