Research of Image Classification Methods Using Neural Networks on GPUs

dc.contributor.authorCherskyi, Serhiien
dc.contributor.authorOstrovska, Kateryna Yu.en
dc.date.accessioned2025-03-10T11:57:55Z
dc.date.available2025-03-10T11:57:55Z
dc.date.issued2024
dc.descriptionK. Ostrovska: ORCID 0000-0002-9375-4121en
dc.description.abstractENG: The paper examines the classification of images on GPUs by means of neural networks, namely, using the example of the categorization of household goods. This topic is relevant, since in everyday life we are surrounded by images and it is easy for a person to interpret them, and it is much more difficult for a computer, all the more to classify or segment images. As a result, a system was created that automatically classifies goods, modifying existing approaches, and obtained a custom one that works better for this task. Having improved the product, it can be used for any organization where it would be convenient to automatically classify products.en
dc.identifier.citationCherskyi S., Ostrovska K. Research of Image Classification Methods Using Neural Networks on GPUs. Modern Research in Science and Education : Proc. of V International Scientific and Practical Conference (Chicago, USA, 11–13 January 2024). Chicago, 2024. C. 218–220.en
dc.identifier.isbn978-1-73981-123-5
dc.identifier.urihttps://sci-conf.com.ua/v-mizhnarodna-naukovo-praktichna-konferentsiya-modern-research-in-science-and-education-11-13-01-2024-chikago-ssha-arhiv/en
dc.identifier.urihttps://crust.ust.edu.ua/handle/123456789/19757en
dc.language.isoen
dc.publisherScientific Publishing Center “Sci-conf.com.ua”, BoScience Publisheren
dc.subjectmachine scienceen
dc.subjectneural measuresen
dc.subjectimage classificationen
dc.subjectКІТСuk_UA
dc.subject.classificationTECHNOLOGY::Information technology::Image analysisen
dc.titleResearch of Image Classification Methods Using Neural Networks on GPUsen
dc.typeArticleen
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