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journal article
Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning
Bazarov, A.
;
Benito Castano, Maria
;
Hütsi, Gert
;
Kipper, Rain
;
Pata, Joosep
;
Põder, Sven
Astronomy and Computing
2022
/
art. 100667, 10 p. : ill
https://doi.org/10.1016/j.ascom.2022.100667
journal article
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Probing the Milky Way’s dark matter halo in the Gaia and machine learning era = Linnutee galaktika tumeaine halo uurimine Gaia ja masinõppe ajastul
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48
1.
astronomy
2.
Applied computing
3.
Approximate computing
4.
bio-inspired computing
5.
cloud computing
6.
collaborative computing
7.
computing
8.
computing experiment framework
9.
Computing methodologies
10.
computing platforms
11.
computing sorted subsets
12.
computing trends
13.
concurrent computing
14.
critical computing
15.
distributed computing
16.
edge computing
17.
edge-computing
18.
electric machine analysis computing
19.
electrical engineering computing
20.
energy-efficient computing
21.
evolutionary computing
22.
fog and edge computing
23.
fog computing
24.
green computing
25.
high performance computing
26.
high-performance computing systems
27.
high-performance computing systems, Information processing
28.
interactive computing
29.
legal aspects of computing
30.
mathematics and computing
31.
medical computing
32.
mobile fog computing
33.
multi-access edge computing
34.
multi-access edge computing (MEC)
35.
parallel computing
36.
peer-to-peer computing
37.
physics computing
38.
power aware computing
39.
power engineering computing
40.
power system analysis computing
41.
proactive and autonomous computing
42.
quantum computing
43.
reconfigurable computing
44.
serverless computing
45.
soft computing
46.
telecommunication computing
47.
transient computing
48.
vehicular edge computing
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