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    <title>Ergebnis für "convolution"</title>
    <description>Treffer 1 - 25 von 25</description>
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    <item>
      <title>Characterization of regular convolutions</title>
      <pubDate>Sun, 08 Feb 2026 07:58:06 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/admjournalluguniveduua-article-80</link>
      <guid>https://harvester.nas.gov.ua/Record/admjournalluguniveduua-article-80</guid>
      <author>Sagi, Sankar</author>
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      <dc:date>2018</dc:date>
      <dc:creator>Sagi, Sankar</dc:creator>
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      <title>Ideals in \((\mathcal{Z}^{+},\leq_{D})\)</title>
      <pubDate>Tue, 02 Dec 2025 15:44:54 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/admjournalluguniveduua-article-760</link>
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      <author>Sagi, Sankar</author>
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      <dc:date>2018</dc:date>
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      <title>The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data</title>
      <pubDate>Wed, 17 Sep 2025 09:27:01 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/es-journalinua-article-328625</link>
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      <author>Krysenko, Pavlo</author>
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      <dc:date>2025</dc:date>
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      <title>Optimization methods for face recognition  algorithmes</title>
      <pubDate>Wed, 17 Sep 2025 09:21:00 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-766</link>
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      <author>Sitkov, I.P.</author>
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      <title>Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions</title>
      <pubDate>Thu, 17 Jul 2025 12:17:13 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/oai:ojs2.ex.aqua-time.com.ua:article-266</link>
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      <author>Alghamdi, S.</author>
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      <title>A METHOD OF REDUCING THE ERROR IN DETERMINING THE ANGULAR DISPLACEMENTS WHEN USING INDUCTIVE SENSORS</title>
      <pubDate>Thu, 17 Jul 2025 11:48:16 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-218859</link>
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      <author>Snitkov, K. I.</author>
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      <title>Method of processing information about the state of the environment based on data obtained through a service-oriented network</title>
      <pubDate>Thu, 17 Jul 2025 11:19:24 +0000</pubDate>
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      <author>Trofymchuk, Oleksandr M.</author>
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      <title>A generalized methodology of sign language recognition on video streams based on neural networks and transformers</title>
      <pubDate>Thu, 17 Jul 2025 10:58:52 +0000</pubDate>
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      <author>Кузнєцова, Н. В.</author>
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      <title>Development and research of a modified convolutional neural network for malaria cell pattern recognition</title>
      <pubDate>Thu, 17 Jul 2025 10:58:49 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-287018</link>
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      <author>Федорченко, Є. М.</author>
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      <title>Method of hypercomplex numbers systems generation for modeling digital reversible filters of 4th order</title>
      <pubDate>Thu, 17 Jul 2025 10:57:42 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-183470</link>
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      <author>Kalinovsky, Ya. A.</author>
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      <dc:date>2019</dc:date>
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      <title>Recursive method for constructing linear convolution algorithms of various lengths using hypercomplex number systems.</title>
      <pubDate>Thu, 17 Jul 2025 10:57:26 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-178872</link>
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      <author>Kalinovsky, Ya. A.</author>
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      <dc:date>2019</dc:date>
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      <title>Using fast algorithms for calculation of the correlation and convolution to prepare reference images</title>
      <pubDate>Thu, 17 Jul 2025 10:57:19 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-158514</link>
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      <author>Tsybulska, Y. O.</author>
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      <dc:date>2018</dc:date>
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      <title>A prediction of the frequency of non-periodic signals based on convolutional neural networks</title>
      <pubDate>Thu, 17 Jul 2025 10:57:19 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-158515</link>
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      <author>Subbotin, S. A.</author>
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      <dc:date>2018</dc:date>
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      <title>Structure of an algoritsm for quick two-dimensional convolution by means of isomorphing hypercomplex numerical systems</title>
      <pubDate>Thu, 17 Jul 2025 10:56:55 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-142899</link>
      <guid>https://harvester.nas.gov.ua/Record/drspiprikievua-article-142899</guid>
      <author>Kalinovsky, Ya. A.</author>
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      <dc:date>2018</dc:date>
      <dc:creator>Kalinovsky, Ya. A.</dc:creator>
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      <title>The Structure of a Hyper Fast Calculation Method Linear Convolution of Discrete Signals</title>
      <pubDate>Thu, 17 Jul 2025 10:55:42 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-103363</link>
      <guid>https://harvester.nas.gov.ua/Record/drspiprikievua-article-103363</guid>
      <author>Калиновський, Я. О.</author>
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      <dc:date>2013</dc:date>
      <dc:creator>Калиновський, Я. О.</dc:creator>
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      <title>Study of Symmetries Operator of Isomorphism Hypercomplex Number Systems and Their Application for the Synthesis of Algorithms of Fast Calculations of Cyclic Convolution</title>
      <pubDate>Thu, 17 Jul 2025 10:54:45 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-100255</link>
      <guid>https://harvester.nas.gov.ua/Record/drspiprikievua-article-100255</guid>
      <author>Kalinovsky, Ya. O.</author>
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      <dc:date>2014</dc:date>
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      <title>Algorithms for Fast Computation of Cyclic Convolutions with the Notion of Discrete Signals Hypercomplex Numbers</title>
      <pubDate>Thu, 17 Jul 2025 10:54:35 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-100234</link>
      <guid>https://harvester.nas.gov.ua/Record/drspiprikievua-article-100234</guid>
      <author>Kalinovsky, Ya. O.</author>
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      <dc:date>2014</dc:date>
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      <title>Machine learning methods analysis in the document classification problem</title>
      <pubDate>Thu, 17 Jul 2025 10:06:26 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-441</link>
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      <author>Zhyrkova, A.P.</author>
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      <dc:date>2021</dc:date>
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      <title>Developing a semantic image model using machine learning based on convolutional neural networks</title>
      <pubDate>Thu, 17 Jul 2025 10:01:03 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-427</link>
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      <author>Andon, P.I.</author>
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      <title>A Convolutional Neural Network Model and Software Tool for Classifying the Presence of a Medical Mask on a Human Face</title>
      <pubDate>Thu, 17 Jul 2025 09:52:06 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-568</link>
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      <author>Hryhorenko, Y.S.</author>
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      <dc:date>2023</dc:date>
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      <title>Convolutional neural network model and software for classification of typical pests</title>
      <pubDate>Thu, 17 Jul 2025 09:51:19 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-478</link>
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      <author>Bezliudnyi, Y.S.</author>
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      <dc:date>2022</dc:date>
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      <title>Automated methods of coherence evaluation of Ukrainian texts using machine learning techniques</title>
      <pubDate>Thu, 17 Jul 2025 09:50:53 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-421</link>
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      <author>Kramov, A.A.</author>
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      <title>Automated design and parallelization of programs for heterogeneous platforms using algebra-algorithmic tools</title>
      <pubDate>Thu, 17 Jul 2025 09:45:31 +0000</pubDate>
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      <author>Doroshenko, А.Yu.</author>
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      <title>Machine vision  systems for detection of fast-moving objects in low visibility conditions</title>
      <pubDate>Thu, 17 Jul 2025 09:42:09 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-638</link>
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      <title>Comparative analysis of height-based  vegetation segmentation methods: evaluating efficiency and accuracy</title>
      <pubDate>Thu, 17 Jul 2025 09:36:55 +0000</pubDate>
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