Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Applications of Recurrent Neural Network for Biometric Authentication &
  Anomaly Detection   Recurrent Neural Networks are powerful machine learning frameworks that allow
for data to be saved and referenced in a temporal sequence. This opens many new
possibilities in fields such as handwriting analysis and speech recognition.
This paper seeks to explore current research being conducted on RNNs in four
very important areas, being biometric authentication, expression recognition,
anomaly detection, and applications to aircraft. This paper reviews the
methodologies, purpose, results, and the benefits and drawbacks of each
proposed method below. These various methodologies all focus on how they can
leverage distinct RNN architectures such as the popular Long Short-Term Memory
(LSTM) RNN or a Deep-Residual RNN. This paper also examines which frameworks
work best in certain situations, and the advantages and disadvantages of each
pro-posed model.

33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
18
The categories of this paper are: econ