Object-Oriented Intelligent System for Neural Network Detection of Sugar Crystallization Zones

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dc.contributor.authorMazurets, O. V.
dc.contributor.authorKlimenko, V. I.
dc.contributor.authorMolchanova, M.O.
dc.contributor.authorSultanov, A.V.
dc.contributor.authorМазурець, Олександр Вікторович
dc.date.accessioned2024-12-10T18:31:37Z
dc.date.available2024-12-10T18:31:37Z
dc.date.issued2024
dc.description.abstractA method for detecting sugar crystallization zones in production has been developed to optimize processes and automate problem detection. It uses a trained neural network and image analysis to classify and explain crystallization zones. The system's object-oriented architecture includes four subsystems and a database, with detailed functions and roles described. The design comprises nine classes, outlining the functional purpose and software components for neural network-based image multi-classification. Key implementation features of the intelligent system are also highlighted.
dc.identifier.citationMazurets O. V., Klimenko V. I., Molchanova M. O., Sultanov A. V. Object-Oriented Intelligent System for Neural Network Detection of Sugar Crystallization Zones. Global Science: Prospects and Innovations. Proceedings of the 10th International scientific and practical conference. Cognum Publishing House. Liverpool, United Kingdom. 2024. Pp. 198-207.
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/17240
dc.language.isoen
dc.titleObject-Oriented Intelligent System for Neural Network Detection of Sugar Crystallization Zones
dc.typeСтаття
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