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Predicting Wind-Driven Spatial Deposition through Simulated Color Images
  using Deep Autoencoders

Predicting Wind-Driven Spatial Deposition through Simulated Color Images using Deep Autoencoders

3 February 2022
M. G. Fernández-Godino
Donald D. Lucas
Qingkai Kong
ArXivPDFHTML

Papers citing "Predicting Wind-Driven Spatial Deposition through Simulated Color Images using Deep Autoencoders"

3 / 3 papers shown
Title
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal
  Atmospheric Transport
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport
M. G. Fernández-Godino
Wai Tong Chung
Akshay A. Gowardhan
M. Ihme
Qingkai Kong
Donald D. Lucas
S. Myers
66
0
0
14 Dec 2024
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning
Yinan Wang
M. G. Fernández-Godino
Nipun Gunawardena
Donald D. Lucas
X. Yue
28
1
0
30 May 2024
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,348
0
12 Dec 2018
1