Engineering
Additional Loss
16%
Angular Frequency
16%
Benchmark Problem
33%
Boundary Condition
33%
Computational Cost
38%
Demonstrates
38%
Diffusion Model
33%
Feasible Solution
16%
Frequency Domain
66%
Full-Waveform Inversion
66%
Functional Representation
33%
Helmholtz's Law
61%
High Resolution
11%
Image Reconstruction
16%
Inverse Fourier Transform
16%
Limitations
16%
Loss Function
50%
Natural Sciences Computing
33%
Network Function
77%
Network Model
33%
Neural Network Training
22%
Numerical Methods
33%
Observed Data
16%
Obtains
72%
Partial Differential Equation
50%
Proof-of-Concept
16%
Radar Data
16%
Reference Frequency
33%
Sampled Data
16%
Seismic Wave
33%
Shallower
33%
Space Representation
11%
Space Solution
11%
Spatial Coordinate
16%
Square Root
16%
Subsurface
66%
Tasks
16%
Keyphrases
Additional Losses
11%
Aliasing Problem
19%
Diffusion Model
33%
Direct Imaging
33%
Double Square
11%
Earth Surface
11%
Explode
11%
Frequency Upscaling
33%
Full-waveform Inversion
33%
Ground Penetrating Radar
11%
Hard Constraints
11%
Hash Encoding
33%
Hermann Von Helmholtz
11%
Image Reconstruction
11%
Imaging Approach
11%
Imaging Condition
11%
Loss Function
11%
Modified Helmholtz Equation
11%
Neural Network Framework
11%
Neural Network Function
22%
Physics-informed Neural Networks
33%
Pre-stack
11%
Radar Data
11%
Reflector
11%
Square Root
11%
Structure Investigation
11%
Subsurface Model
11%
Time-image
11%
Velocity Model
11%
Wave Field
22%
Zero Offset
22%
Computer Science
Aliasing
11%
Boundary Condition
11%
Diffusion Model
33%
Frequency Domain
11%
Functional Solution
11%
Hard Constraint
11%
Image Reconstruction
11%
Linear Relation
11%
Networking Function
33%
Neural Network
68%
Neural Network Training
22%
Physics-Informed Neural Network
100%
Single Reference
33%
Solution Space
11%
Space Representation
11%
