Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Possible Artificial Intelligence Ecosystem Avatar: the Moorea case
  (IDEA)   High-throughput data collection techniques and largescale (cloud) computing
are transforming our understanding of ecosystems at all scales by allowing the
integration of multimodal data such as physics, chemistry, biology, ecology,
fishing, economics and other social sciences in a common computational
framework. We focus in this paper on a large scale data assimilation and
prediction backbone based on Deep Stacking Networks (DSN) in the frame of the
IDEA (Island Digital Ecosystem Avatars) project (Moorea Island), based on the
subdivision of the island in watersheds and lagoon units. We also describe
several kinds of raw data that can train and constrain such an ecosystem avatar
model, as well as second level data such as ecological or physical indexes /
indicators.

19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
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The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
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The categories of this paper are: stat
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph