Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: NEARBY Platform for Detecting Asteroids in Astronomical Images Using
  Cloud-based Containerized Applications   The continuing monitoring and surveying of the nearby space to detect Near
Earth Objects (NEOs) and Near Earth Asteroids (NEAs) are essential because of
the threats that this kind of objects impose on the future of our planet. We
need more computational resources and advanced algorithms to deal with the
exponential growth of the digital cameras' performances and to be able to
process (in near real-time) data coming from large surveys. This paper presents
a software platform called NEARBY that supports automated detection of moving
sources (asteroids) among stars from astronomical images. The detection
procedure is based on the classic "blink" detection and, after that, the system
supports visual analysis techniques to validate the moving sources, assisted by
static and dynamical presentations.

2
The categories of this paper are: math
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas