Application of video data classification models using convolutional neural networks

Tvoroshenko, I.; Pomazan, V.; Gorokhovatskyi, V.; Kobylin, O.

Публікація:
Application of video data classification models using convolutional neural networks

dc.contributor.author	Tvoroshenko, I.
dc.contributor.author	Pomazan, V.
dc.contributor.author	Gorokhovatskyi, V.
dc.contributor.author	Kobylin, O.
dc.date.accessioned	2023-12-01T14:48:11Z
dc.date.available	2023-12-01T14:48:11Z
dc.date.issued	2023
dc.description.abstract	This paper explores the classification of video data with convolutional neural networks. It discusses how convolutional neural network architecture can do this task with fastness and maximum efficiency. By analyzing the different convolutional neural network models model was proposed that showed great results in this video classification task. The strengths and weaknesses of the neural network model for video classification have been identified, and the prospects for further work have also been outlined.
dc.identifier.citation	Application of video data classification models using convolutional neural networks / I. Tvoroshenko, V. Pomazan, V. Gorokhovatskyi, O. Kobylin // International Journal of Academic and Applied Research. - 7(11). - pp. 134-145.
dc.identifier.uri	http://ijeais.org/wp-content/uploads/2023/11/IJAAR231118.pdf
dc.identifier.uri	https://openarchive.nure.ua/handle/document/24912
dc.language.iso	en_US
dc.publisher	International Journal of Academic and Applied Research
dc.subject	artificial intelligence
dc.subject	classification
dc.subject	convolutional neural networks (CNN)
dc.subject	neural network
dc.subject	video classification
dc.title	Application of video data classification models using convolutional neural networks
dc.type	Article
dspace.entity.type	Publication