Earth and Planetary Sciences
Impact
100%
Performance Assessment
100%
Excitation
100%
Core
100%
Subject
100%
Model
100%
Nuclear Fuel
100%
Machine Learning
100%
Deformation
66%
Spacers
66%
Fuel
66%
Regression
33%
Set
33%
Record
33%
Experience
33%
Transfer Function
33%
Dynamic Analysis
33%
Elevation
33%
Estimating
33%
Dynamic Models
33%
Event
33%
Parameter
33%
Starting
33%
Seismic Hazard
33%
Training
33%
Correlation
33%
Data Set
33%
Artificial Neural Network
33%
Network
33%
Dimension
33%
Ground Motion
33%
Engineering
Learning Approach
100%
Surrogate Model
100%
Performance
100%
Fuel Assembly
100%
Permanent Deformation
66%
Seismic Performance
33%
Seismic Hazard
33%
Artificial Neural Network
33%
Events
33%
Networks
33%
Reactor Pressure Vessel
33%
Correlation
33%
Dynamic Model
33%
Regression
33%
Non-Linear Dynamics
33%
Measurer
33%
Ground Movement
33%
Dataset
33%