Batanov Arseny Olegovich (Senior Lecturer, Department of Instrumental and Applied Software, Institute of Information Technologies, Institute of Information Technologies, RTU MIREA)
Ruslyakov Alexey Aleksandrovich (Assistant, Department of Instrumental and Applied Software, Institute of Information Technologies, Institute of Information Technologies, RTU MIREA)
Poletaev Vladislav Aleksandrovich (Student of the Department of Instrumental and Applied Software of the Institute of Information Technologies, Institute of Information Technologies, RTU MIREA)
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The research presented in this paper focuses on examining the synergy of neural networks, semiotics, and tracking systems in information systems. The main attention is paid to expanding the analysis of tracking data, as well as the interaction and influence of neural networks on tracking systems, with the goal of developing more intelligent and adaptive information management systems. As an illustrative example, the application of a neural network for recognizing vehicle license plates is analyzed. The results of the study consider the synergy of semiotics and tracking technologies, and also outline prospects for the development of more effective information systems capable of analyzing the surrounding world and perceiving its semiotic context.
Keywords:Neural Networks, Semiotics, Tracking Systems, Intelligent Systems
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Citation link:
Batanov A. O., Ruslyakov A. A., Poletaev V. A. MODERN APPROACHES TO INFORMATION SYSTEMS MANAGEMENT: SEMIOTICS, TRACKING AND NEURAL NETWORKS IN SYNERGY // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№02. -С. 19-25 DOI 10.37882/2223-2966.2024.02.06 |
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