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Localized convolutional neural networks for geospatial wind forecasting
v1v2v3 (latest)

Localized convolutional neural networks for geospatial wind forecasting

12 May 2020
Arnas Uselis
M. Lukoševičius
Lukas Stasytis
ArXiv (abs)PDFHTML

Papers citing "Localized convolutional neural networks for geospatial wind forecasting"

4 / 4 papers shown
Title
DL4DS -- Deep Learning for empirical DownScaling
DL4DS -- Deep Learning for empirical DownScaling
C. G. Gomez Gonzalez
AI4ClAI4CE
46
6
0
07 May 2022
Modeling the geospatial evolution of COVID-19 using spatio-temporal
  convolutional sequence-to-sequence neural networks
Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks
Mário Cardoso
A. Cavalheiro
Alexandre Borges
A. F. Duarte
Amilcar Soares
M. Pereira
N. Nunes
L. Azevedo
Arlindo L. Oliveira
87
8
0
06 May 2021
Recognizing a Spatial Extreme dependence structure: A Deep Learning
  approach
Recognizing a Spatial Extreme dependence structure: A Deep Learning approach
Manaf Ahmed
Véronique Maume-Deschamps
Pierre Ribereau
43
12
0
19 Mar 2021
On the Inclusion of Spatial Information for Spatio-Temporal Neural
  Networks
On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks
Rodrigo de Medrano
J. Aznarte
63
16
0
15 Jul 2020
1