Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: LSTM recurrent neural network assisted aircraft stall prediction for
  enhanced situational awareness   Since the dawn of mankind's introduction to powered flights, there have been
multiple incidents which can be attributed to aircraft stalls. Most modern-day
aircraft are equipped with advanced warning systems to warn the pilots about a
potential stall, so that pilots may adopt the necessary recovery measures. But
these warnings often have a short window before the aircraft actually enters a
stall and require the pilots to act promptly to prevent it. In this paper, we
propose a deep learning based approach to predict an Impending stall, well in
advance, even before the stall-warning is triggered. We leverage the
capabilities of long short-term memory (LSTM) recurrent neural networks (RNN)
and propose a novel approach to predict potential stalls from the sequential
in-flight sensor data. Three different neural network architectures were
explored. The neural network models, trained on 26400 seconds of simulator
flight data are able to predict a potential stall with > 95% accuracy,
approximately 10 seconds in advance of the stall-warning trigger. This can
significantly augment the Pilot's preparedness to handle an unexpected stall
and will add an additional layer of safety to the traditional stall warning
systems.

8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
2
The categories of this paper are: math
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics