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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>High-Speed Parity Number Detection Algorithm inRNS Based onAkushsky Core Function</text>
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              <text>Akushsky core function; High performance computing; Non-modular operations; Parity detection; Residue number system</text>
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              <text>The Residue Number System is widely used in cryptography, digital signal processing, image processing systems and other areas where high-performance computation is required. One of the computationally expensive operations in the Residue Number System is the parity detection of a number. This paper presents a high-speed algorithm for parity detection of numbers in Residue Number System based on Akushsky core function. The proposed approach for parity detection reduces the average time by 20.39% compared to the algorithm based on the Chinese Remainder Theorem.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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              <text>Lutsenko V.; Geryugova A.; Babenko M.; Lapina M.; Mary Anita E.A.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-1121 LNNS, pp. 491-504.</text>
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          <name>Publisher</name>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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          <name>Date</name>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-97-7423-4_38" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-97-7423-4_38&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213050317&amp;amp;doi=10.1007%2F978-981-97-7423-4_38&amp;amp;partnerID=40&amp;amp;md5=bd420b556771971a57882315bfe8bb74" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213050317&amp;amp;doi=10.1007%2f978-981-97-7423-4_38&amp;amp;partnerID=40&amp;amp;md5=bd420b556771971a57882315bfe8bb74&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 23673370; ISBN: 978-981977422-7</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Lutsenko V., North-Caucasus Federal University, Stavropol, Russian Federation; Geryugova A., North-Caucasus Federal University, Stavropol, Russian Federation; Babenko M., North-Caucasus Federal University, Stavropol, Russian Federation; Lapina M., North-Caucasus Federal University, Stavropol, Russian Federation; Mary Anita E.A., Christ University, Bangalore, India</text>
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