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

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Bibliographic Details
Date:2018
Main Authors: S. V. Kovalevskyi, O. S. Kovalevska
Format: Article
Language:English
Published: 2018
Series:Artificial intelligence
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0001152035
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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 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
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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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