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dc.contributor.authorTimchenko, V. L.-
dc.contributor.authorKondratenko, Y. P.-
dc.contributor.authorKreinovich, V.-
dc.date.accessioned2023-07-27T09:19:08Z-
dc.date.available2023-07-27T09:19:08Z-
dc.date.issued2023-
dc.identifier.issn1860949X-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85163882079&doi=10.1007%2f978-3-031-29447-1_20&partnerID=40&mDOI: 10.1007/978-3-031-29447-1_20-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-031-29447-1_20-
dc.identifier.urihttps://dspace.chmnu.edu.ua/jspui/handle/123456789/1201-
dc.descriptionTimchenko, V.L., Kondratenko, Y.P., Kreinovich, V. (2023). Why Color Optical Computing?. In: Phuong, N.H., Kreinovich, V. (eds). Deep Learning and Other Soft Computing Techniques. Studies in Computational Intelligence, 1097, (227-233). Springer Science and Business Media Deutschland GmbH. doi.org/10.1007/978-3-031-29447-1_20uk_UA
dc.description.abstractIn this paper, we show that requirements that computations be fast and noise-resistant naturally lead to what we call color-based optical computing.uk_UA
dc.language.isoenuk_UA
dc.publisherSpringer Science and Business Media Deutschland GmbHuk_UA
dc.titleWhy Color Optical Computing?uk_UA
dc.typeBook chapteruk_UA
Appears in Collections:Публікації науково-педагогічних працівників ЧНУ імені Петра Могили у БД Scopus

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