Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Transportation Mode Classification from Smartphone Sensors via a
  Long-Short-Term-Memory Network   This article introduces the architecture of a Long-Short-Term Memory network
for classifying transportation-modes via Smartphone data and evaluates its
accuracy. By using a Long-Short-Term-Memory Network with common preprocessing
steps such as normalisation for classification tasks a F1-Score accuracy of
63.68\% was achieved with an internal test dataset. We participated as Team
'GanbareAM' in the 'SHL recognition challenge'.

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The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
15
The categories of this paper are: nucl-ex
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The categories of this paper are: supr-con
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The categories of this paper are: q-fin
3
The categories of this paper are: physics
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The categories of this paper are: hep-lat
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The categories of this paper are: stat
8
The categories of this paper are: hep-ex
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The categories of this paper are: patt-sol
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
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The categories of this paper are: solv-int
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The categories of this paper are: nlin
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The categories of this paper are: acc-phys
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The categories of this paper are: alg-geom