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A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data. (arXiv:2201.10544v1 [stat.ML])
Web: http://arxiv.org/abs/2201.10544
Jan. 26, 2022, 2:11 a.m. | Charlie Kirkwood, Theo Economou, Henry Odbert, Nicolas Pugeault
cs.LG updates on arXiv.org arxiv.org
As the costs of sensors and associated IT infrastructure decreases - as
exemplified by the Internet of Things - increasing volumes of observational
data are becoming available for use by environmental scientists. However, as
the number of available observation sites increases, so too does the
opportunity for data quality issues to emerge, particularly given that many of
these sensors do not have the benefit of official maintenance teams. To realise
the value of crowd sourced 'Internet of Things' type observations …
More from arxiv.org / cs.LG updates on arXiv.org
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