Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in
  Southern California   Geoscience and seismology have utilized the most advanced technologies and
equipment to monitor seismic events globally from the past few decades. With
the enormous amount of data, modern GPU-powered deep learning presents a
promising approach to analyze data and discover patterns. In recent years,
there are plenty of successful deep learning models for picking seismic waves.
However, forecasting extreme earthquakes, which can cause disasters, is still
an underdeveloped topic in history. Relevant research in spatiotemporal
dynamics mining and forecasting has revealed some successful predictions, a
crucial topic in many scientific research fields. Most studies of them have
many successful applications of using deep neural networks. In Geology and
Earth science studies, earthquake prediction is one of the world's most
challenging problems, about which cutting-edge deep learning technologies may
help discover some valuable patterns. In this project, we propose a deep
learning modeling approach, namely \tseqpre, to mine spatiotemporal patterns
from data to nowcast extreme earthquakes by discovering visual dynamics in
regional coarse-grained spatial grids over time. In this modeling approach, we
use synthetic deep learning neural networks with domain knowledge in geoscience
and seismology to exploit earthquake patterns for prediction using
convolutional long short-term memory neural networks. Our experiments show a
strong correlation between location prediction and magnitude prediction for
earthquakes in Southern California. Ablation studies and visualization validate
the effectiveness of the proposed modeling method.

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The categories of this paper are: gr-qc
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The categories of this paper are: hep-ex
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The categories of this paper are: patt-sol
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The categories of this paper are: solv-int
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The categories of this paper are: q-bio
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-lat
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The categories of this paper are: math-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: funct-an
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The categories of this paper are: q-fin
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The categories of this paper are: stat
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-th
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The categories of this paper are: mtrl-th