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Deep Learning Model
100%
Conditional Generative Adversarial Network (cGAN)
100%
Urban Wind
100%
Pedestrian Level
100%
Hierarchical Deep Learning
100%
Surrogate Model
66%
Refinery
66%
Baseline Predictors
66%
Validation Set
33%
Deep Learning
33%
Training Set
33%
Urban Planning
33%
Flow Structure
33%
Prediction Accuracy
33%
Computational Efficiency
33%
Single-stage
33%
Local Features
33%
Hierarchical Approach
33%
U-Net
33%
Frequency Prediction
33%
Sharp Gradient
33%
Computational Fluid Dynamics Simulation
33%
Ablation Study
33%
Hierarchical Model
33%
High Winds
33%
Web Platform
33%
Safety Analysis
33%
Turbulent Wake
33%
Two-stage Design
33%
Urban Wind Flow
33%
Pedestrian Comfort
33%
Urban Configuration
33%
L1 Loss
33%
Wind Jet
33%
High-frequency Details
33%
Simultaneous Learning
33%
Multi-scale Architecture
33%
Quantitative Enhancement
33%
Wind Statistics
33%
Network Mapping
33%
Sharp Peak
33%
Urban Geometry
33%
Kernel Size
33%
Hierarchical CNN
33%
Peak Wind Speed
33%
Global Flows
33%
Turbulent Wind
33%
Robust Methodology
33%
High-frequency Content
33%
Comfort Assessment
33%
Qualitative Improvements
33%
Wind Safety
33%
Prediction Fidelity
33%
Engineering
Deep Learning Method
100%
Surrogate Model
100%
Generative Adversarial Networks
100%
Computational Fluid Dynamics
50%
Urban Planning
50%
Flow Structure
50%
Design Stage
50%
Convolutional Neural Network
50%
Safety Analysis
50%
Multiscale
50%
High Frequency Content
50%
High Wind Speed
50%
Jet
50%
Pedestrian Comfort
50%
Kernel Size
50%
U-Net
50%
Computer Science
Deep Learning Model
100%
Conditional Generative Adversarial Network
100%
Deep Learning Method
50%
Validation Set
50%
Convolutional Neural Network
50%
Prediction Accuracy
50%
local feature
50%
U-Net
50%
Hierarchical Model
50%
Web Portal
50%
Interactivity
50%
Earth and Planetary Sciences
Generative Adversarial Networks
100%
Deep Learning Model
100%
Urban Planning
50%
Urban Development
50%
Flow Structure
50%
Fluid Dynamics
50%
Wind Velocity
50%
Accident Prevention
50%
U-Net
50%
Pedestrian Comfort
50%
Turbulent Wake
50%