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Uncertainty Quantification of Hydro-morphodynamic Models using Probabilistic Surrogate Models
Majdi Fanous
,
Omid Chatrabgoun
, Mohsen Esmaeilbeigi
, Hamed Yazdani Nezhad
, Alireza Daneshkhah
Research Centre for Computational Science and Mathematical Modelling
Malayer University
University of Leeds
Research output
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Earth and Planetary Sciences
Uncertainty Modeling
100%
Morphodynamics
100%
Model
100%
Complexity
30%
Accuracy
20%
Research
20%
Exhibit
20%
Improvement
20%
Output
20%
Adaptation
20%
Input
20%
Cartography
10%
Standard
10%
Magnitude
10%
Protection
10%
Numerical Model
10%
Decision
10%
Learning
10%
Environment
10%
Mitigation
10%
Network
10%
Hybrid
10%
Parameter
10%
Cost
10%
Implication
10%
Mangrove
10%
Efficiency
10%
Order
10%
Utilization
10%
Climate Change
10%
High Resolution
10%
Physics
Morphodynamics
100%
Uncertainty Quantification
100%
Chemical Engineering
Neural Network
100%
Deep Learning
100%
Engineering
Linear Mapping
14%
Dimensional Input
14%
Computer Science
Nonlinear Mapping
11%
Physics-Informed Neural Network
11%