Increasing the reliability of mobile intelligent machines based on deep neural networks

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Datum:2018
Hauptverfasser: S. V. Kovalevskyi, O. S. Kovalevska
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2018
Schriftenreihe:Artificial intelligence
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0001152035
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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
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author S. V. Kovalevskyi
O. S. Kovalevska
author_facet S. V. Kovalevskyi
O. S. Kovalevska
author_sort S. V. Kovalevskyi
collection Open-Science
first_indexed 2025-07-17T17:45:56Z
format Article
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
last_indexed 2025-07-17T17:45:56Z
publishDate 2018
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series Artificial intelligence
spelling open-sciencenbuvgovua-350442024-02-27T22:18:55Z Increasing the reliability of mobile intelligent machines based on deep neural networks S. V. Kovalevskyi O. S. Kovalevska 2710-1673 2018 en Artificial intelligence http://jnas.nbuv.gov.ua/article/UJRN-0001152035 Article
spellingShingle Artificial intelligence
S. V. Kovalevskyi
O. S. Kovalevska
Increasing the reliability of mobile intelligent machines based on deep neural networks
title Increasing the reliability of mobile intelligent machines based on deep neural networks
title_full Increasing the reliability of mobile intelligent machines based on deep neural networks
title_fullStr Increasing the reliability of mobile intelligent machines based on deep neural networks
title_full_unstemmed Increasing the reliability of mobile intelligent machines based on deep neural networks
title_short Increasing the reliability of mobile intelligent machines based on deep neural networks
title_sort increasing the reliability of mobile intelligent machines based on deep neural networks
url http://jnas.nbuv.gov.ua/article/UJRN-0001152035
work_keys_str_mv AT svkovalevskyi increasingthereliabilityofmobileintelligentmachinesbasedondeepneuralnetworks
AT oskovalevska increasingthereliabilityofmobileintelligentmachinesbasedondeepneuralnetworks