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MODEL OF ASSOCIATIVE MEMORY IN A BIG DATA PROCESSING ENVIRONMENT
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I. V. Kalinin; V. A. Sevostyanov
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10.5593/sgem2024/2.1
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1314-2704
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English
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24
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2.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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In the modern world, neural networks are becoming an integral part of human life. In particular, neural networks began to be used for the task of constructing information security tools; in connection with this, the need gradually began to arise to strengthen and improve the mechanisms of artificial intelligence itself, including when using big data technology.
Let's consider the basic concepts of working with Big Data technology, in particular the processing of assimilation memory to build a general visual picture of the current situation of the presence of user agents and software. The assimilative memory model is an important component that evaluates the state of the system, remembers events, produces correlation indicators, and accumulates information for a potential intellectual intrusion detection system. The constructed associative memory can be used to build, for example, efficient structures of on-board geoinformation databases, especially when used in autonomous vehicles (for example, UAVs). The use of an intrusion detection system to protect on-board geoinformation databases in vehicles can improve the security and integrity of data. |
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conference
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
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24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 7 July, 2024
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
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59-64
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1 - 7 July, 2024
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website
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9920
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intrusion detection system, neural networks, artifi
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