Review of deep learning methods in applied problems of economic monitoring based on geospatial data

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Datum:2022
Hauptverfasser: M. S. Lavreniuk, L. L. Shumilo, Ya. Yailymov, N. M. Kussul
Format: Artikel
Sprache:English
Veröffentlicht: 2022
Schriftenreihe:Cybernetics and Systems Analysis
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0001368561
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
id open-sciencenbuvgovua-1909
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spelling open-sciencenbuvgovua-19092023-09-12T18:00:39Z Review of deep learning methods in applied problems of economic monitoring based on geospatial data M. S. Lavreniuk L. L. Shumilo Ya. Yailymov N. M. Kussul 1019-5262 2022 en Cybernetics and Systems Analysis http://jnas.nbuv.gov.ua/article/UJRN-0001368561 Article
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
collection Open-Science
language English
series Cybernetics and Systems Analysis
spellingShingle Cybernetics and Systems Analysis
M. S. Lavreniuk
L. L. Shumilo
Ya. Yailymov
N. M. Kussul
Review of deep learning methods in applied problems of economic monitoring based on geospatial data
format Article
author M. S. Lavreniuk
L. L. Shumilo
Ya. Yailymov
N. M. Kussul
author_facet M. S. Lavreniuk
L. L. Shumilo
Ya. Yailymov
N. M. Kussul
author_sort M. S. Lavreniuk
title Review of deep learning methods in applied problems of economic monitoring based on geospatial data
title_short Review of deep learning methods in applied problems of economic monitoring based on geospatial data
title_full Review of deep learning methods in applied problems of economic monitoring based on geospatial data
title_fullStr Review of deep learning methods in applied problems of economic monitoring based on geospatial data
title_full_unstemmed Review of deep learning methods in applied problems of economic monitoring based on geospatial data
title_sort review of deep learning methods in applied problems of economic monitoring based on geospatial data
publishDate 2022
url http://jnas.nbuv.gov.ua/article/UJRN-0001368561
work_keys_str_mv AT mslavreniuk reviewofdeeplearningmethodsinappliedproblemsofeconomicmonitoringbasedongeospatialdata
AT llshumilo reviewofdeeplearningmethodsinappliedproblemsofeconomicmonitoringbasedongeospatialdata
AT yayailymov reviewofdeeplearningmethodsinappliedproblemsofeconomicmonitoringbasedongeospatialdata
AT nmkussul reviewofdeeplearningmethodsinappliedproblemsofeconomicmonitoringbasedongeospatialdata
first_indexed 2025-07-17T10:36:10Z
last_indexed 2025-07-17T10:36:10Z
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