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

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Bibliographic Details
Date:2022
Main Authors: M. S. Lavreniuk, L. L. Shumilo, Ya. Yailymov, N. M. Kussul
Format: Article
Language:English
Published: 2022
Series:Cybernetics and Systems Analysis
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0001368561
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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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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
collection Open-Science
first_indexed 2025-07-17T10:36:10Z
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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publishDate 2022
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series Cybernetics and Systems Analysis
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
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
title 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_short 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
url http://jnas.nbuv.gov.ua/article/UJRN-0001368561
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AT llshumilo reviewofdeeplearningmethodsinappliedproblemsofeconomicmonitoringbasedongeospatialdata
AT yayailymov reviewofdeeplearningmethodsinappliedproblemsofeconomicmonitoringbasedongeospatialdata
AT nmkussul reviewofdeeplearningmethodsinappliedproblemsofeconomicmonitoringbasedongeospatialdata