Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Case study: Mapping potential informal settlements areas in Tegucigalpa
  with machine learning to plan ground survey   Data collection through censuses is conducted every 10 years on average in
Latin America, making it difficult to monitor the growth and support needed by
communities living in these settlements. Conducting a field survey requires
logistical resources to be able to do it exhaustively. The increasing
availability of open data, high-resolution satellite images, and free software
to process them allow us to be able to do so in a scalable way based on the
analysis of these sources of information. This case study shows the
collaboration between Dymaxion Labs and the NGO Techo to employ machine
learning techniques to create the first informal settlements census of
Tegucigalpa, Honduras.

5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph