Improvement of the object recognition model on aero photos using deep conventional neural network

dc.contributor.authorSlyusar, V. I.
dc.contributor.authorProtsenko, M.
dc.contributor.authorChernukha, A.
dc.contributor.authorKovalov, P.
dc.contributor.authorBorodych, P.
dc.contributor.authorShevchenko, S.
dc.contributor.authorChernikov, O.
dc.contributor.authorVazhynskyi, S.
dc.contributor.authorBogatov, O.
dc.contributor.authorKhrustalev, K.
dc.contributor.authorСлюсар, Вадим Іванович
dc.date.accessioned2021-11-01T17:13:20Z
dc.date.available2021-11-01T17:13:20Z
dc.date.issued2021-10-31
dc.descriptionVadym Slyusar, Mykhailo Protsenko, Anton Chernukha, Pavlo Kovalov, Pavlo Borodych, Serhii Shevchenko, Oleksandr Chernikov, Serhii Vazhynskyi, Oleg Bogatov, Kirill Khrustalev. Improvement of the object recognition model on aerophotos using deep conventional neural network.// Eastern-European Journal of Enterprise Technologies. - 2021, Vol. 5, No. 2 (113). Pp. 6 – 21.uk_UA
dc.identifier.doi10.15587/1729-4061.2021.243094
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/11190
dc.subjectNeural Networkuk_UA
dc.subjectUAVuk_UA
dc.subjectPenetration face productuk_UA
dc.titleImprovement of the object recognition model on aero photos using deep conventional neural networkuk_UA
dc.typeArticleuk_UA
local.department3.3 Кафедра інформаційних систем та технологійuk_UA
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