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    <title>Results for "Machine Learning"</title>
    <description>Showing 1 - 47 results of 47</description>
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    <item>
      <title>A method of entropy-predictive analysis of the integrated environmental risk index of municipal organic waste</title>
      <pubDate>Sun, 17 May 2026 01:00:05 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-358598</link>
      <guid>https://harvester.nas.gov.ua/Record/drspiprikievua-article-358598</guid>
      <author>Тригуба, А. М.</author>
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      <dc:date>2026</dc:date>
      <dc:creator>Тригуба, А. М.</dc:creator>
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    <item>
      <title>Analyses of automated machine learning tools for application   in marketing</title>
      <pubDate>Fri, 01 May 2026 01:00:48 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-894</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-894</guid>
      <author>Nikonov, O.V.</author>
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      <dc:date>2026</dc:date>
      <dc:creator>Nikonov, O.V.</dc:creator>
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    <item>
      <title>Using machine learning methods   to improve the efficiency of the cosmetological services administration process</title>
      <pubDate>Fri, 01 May 2026 01:00:47 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-893</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-893</guid>
      <author>Zakharova, O.V.</author>
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      <dc:date>2026</dc:date>
      <dc:creator>Zakharova, O.V.</dc:creator>
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      <title>Architecture of a software system for multi-model ecological risk  forecasting for digital management of municipal organic waste</title>
      <pubDate>Fri, 01 May 2026 01:00:46 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-889</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-889</guid>
      <author>Tryhuba, A.M.</author>
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      <dc:date>2026</dc:date>
      <dc:creator>Tryhuba, A.M.</dc:creator>
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    <item>
      <title>Adaptive ensemble decision integration   for indicator of resource security: methodology and statistical validation of stability</title>
      <pubDate>Fri, 01 May 2026 01:00:43 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-879</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-879</guid>
      <author>Ilyina, O.P.</author>
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      <dc:date>2026</dc:date>
      <dc:creator>Ilyina, O.P.</dc:creator>
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    <item>
      <title>Methods for implementing quadrotors   autonomy based on hybrid learning methods</title>
      <pubDate>Fri, 01 May 2026 01:00:33 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-876</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-876</guid>
      <author>Ramyk, I.P.</author>
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      <dc:date>2026</dc:date>
      <dc:creator>Ramyk, I.P.</dc:creator>
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    <item>
      <title>An adaptive inference model  in mobile systems</title>
      <pubDate>Fri, 01 May 2026 01:00:32 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-873</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-873</guid>
      <author>Haidukevych, Y.O.</author>
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      <dc:date>2026</dc:date>
      <dc:creator>Haidukevych, Y.O.</dc:creator>
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    <item>
      <title>Application of machine learning methods to study  the relationships between seismicity  and geodynamic features  of the Dnister Hydropower Complex</title>
      <pubDate>Sun, 19 Apr 2026 01:00:08 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/journalsuranua-geofizicheskiy-article-350985</link>
      <guid>https://harvester.nas.gov.ua/Record/journalsuranua-geofizicheskiy-article-350985</guid>
      <author>Brusak, Ivan</author>
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      <dc:date>2026</dc:date>
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      <title>STATE OF HEALTH (SOH) ESTIMATION FOR EMBEDDED BATTERY MANAGEMENT SYSTEMS:  A COMPARATIVE ANALYSIS OF COMPUTATIONALLY EFFICIENT METHODS  </title>
      <pubDate>Tue, 31 Mar 2026 01:00:06 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/veorgua-article-599</link>
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      <author>Sorochynskyi , Ya.</author>
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      <dc:date>2026</dc:date>
      <dc:creator>Sorochynskyi , Ya.</dc:creator>
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      <title>COMPARATIVE ANALYSIS OF METHODS AND TOOLS FOR AMBIENT AIR QUALITY MONITORING</title>
      <pubDate>Tue, 24 Mar 2026 02:03:36 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/systemreorg-article-908</link>
      <guid>https://harvester.nas.gov.ua/Record/systemreorg-article-908</guid>
      <author>Kulykivskyi, Oleksandr</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Kulykivskyi, Oleksandr</dc:creator>
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      <title>BEHIND THE ZONE OF AVOIDANCE OF THE MILKY WAY: WHAT CAN WE RESTORE BY DIRECT AND INDIRECT METHODS?</title>
      <pubDate>Tue, 02 Dec 2025 15:30:24 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/rpra-journalorgua-article-1299</link>
      <guid>https://harvester.nas.gov.ua/Record/rpra-journalorgua-article-1299</guid>
      <author>Vavilova, I. B.</author>
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      <dc:date>2018</dc:date>
      <dc:creator>Vavilova, I. B.</dc:creator>
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    <item>
      <title>Application of machine   learning models to predict energy consumption in smart home systems</title>
      <pubDate>Fri, 21 Nov 2025 02:19:49 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-856</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-856</guid>
      <author>Haidukevych, V.O.</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Haidukevych, V.O.</dc:creator>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>The technology of machine learning  for a composite web service development</title>
      <pubDate>Fri, 21 Nov 2025 02:19:31 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-669</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-669</guid>
      <author>Grishanova, I.Yu.</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Grishanova, I.Yu.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Mathematical model for aerial image decoding and automated analysis of urban infrastructure</title>
      <pubDate>Wed, 17 Sep 2025 09:27:02 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/es-journalinua-article-335838</link>
      <guid>https://harvester.nas.gov.ua/Record/es-journalinua-article-335838</guid>
      <author>Marushchak, Vasyl</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Marushchak, Vasyl</dc:creator>
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    <item>
      <title>Implementation of neural network based 2D seismic images super resolution approach</title>
      <pubDate>Wed, 17 Sep 2025 09:27:01 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/es-journalinua-article-328617</link>
      <guid>https://harvester.nas.gov.ua/Record/es-journalinua-article-328617</guid>
      <author>Noskov, Oleksii</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Noskov, Oleksii</dc:creator>
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    <item>
      <title>Practical content of the elements of petrophysical model of terrigenous sandstones — oil and gas reservoirs in neural networks, deep learning and regression methods</title>
      <pubDate>Wed, 17 Sep 2025 09:26:50 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/journalsuranua-geofizicheskiy-article-309312</link>
      <guid>https://harvester.nas.gov.ua/Record/journalsuranua-geofizicheskiy-article-309312</guid>
      <author>Vyzhva, Serhiy</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Vyzhva, Serhiy</dc:creator>
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    <item>
      <title>Applying spectral decomposition to seismic facies clustering with unsupervised machine learning</title>
      <pubDate>Wed, 17 Sep 2025 09:26:50 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/journalsuranua-geofizicheskiy-article-320290</link>
      <guid>https://harvester.nas.gov.ua/Record/journalsuranua-geofizicheskiy-article-320290</guid>
      <author>Malikov, Ruslan</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Malikov, Ruslan</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Визначення рівня пропаганди в оперних лібрето за допомогою засобів data mining та machine learning</title>
      <pubDate>Wed, 17 Sep 2025 09:26:03 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/journaliasakpiua-article-335973</link>
      <guid>https://harvester.nas.gov.ua/Record/journaliasakpiua-article-335973</guid>
      <author>Dats, Iryna</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Dats, Iryna</dc:creator>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Hardware – software system   for contactless mine detection based on ineligible neutron scattering and machine   processing of characteristic γ-radiation spectra</title>
      <pubDate>Wed, 17 Sep 2025 09:21:12 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-770</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-770</guid>
      <author>Lаshchоnov, B.V.</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Lаshchоnov, B.V.</dc:creator>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Flow constructing and optimizing  method for composite web service based on Q-learning</title>
      <pubDate>Wed, 17 Sep 2025 09:21:03 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-767</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-767</guid>
      <author>Grishanova, I.Yu.</author>
      <dc:format>Article</dc:format>
      <dc:date>2025</dc:date>
      <dc:creator>Grishanova, I.Yu.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Neurosymbolic models for ensuring cybersecurity in critical  cyberphysical systems</title>
      <pubDate>Wed, 17 Sep 2025 09:20:58 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-765</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-765</guid>
      <author>Yevdokymov, S.O.</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Yevdokymov, S.O.</dc:creator>
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    <item>
      <title>Maximizing solar photovoltaic system efficiency by multivariate linear regression based maximum power point tracking using machine learning</title>
      <pubDate>Thu, 17 Jul 2025 11:50:00 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-293410</link>
      <guid>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-293410</guid>
      <author>Paquianadin, V.</author>
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      <dc:date>2024</dc:date>
      <dc:creator>Paquianadin, V.</dc:creator>
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    <item>
      <title>Enhancing power system security using soft computing and machine learning</title>
      <pubDate>Thu, 17 Jul 2025 11:49:47 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-282307</link>
      <guid>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-282307</guid>
      <author>Venkatesh, P.</author>
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      <dc:date>2023</dc:date>
      <dc:creator>Venkatesh, P.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>IMPLEMENTING OF MICROSOFT AZURE MACHINE LEARNING TECHNOLOGY FOR ELECTRIC MACHINES OPTIMIZATION</title>
      <pubDate>Thu, 17 Jul 2025 11:47:28 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-156816</link>
      <guid>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-156816</guid>
      <author>Pliugin, V. E.</author>
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      <dc:date>2019</dc:date>
      <dc:creator>Pliugin, V. E.</dc:creator>
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    <item>
      <title>Yield prediction at field level</title>
      <pubDate>Thu, 17 Jul 2025 11:23:08 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/uajuacgovua-article-275</link>
      <guid>https://harvester.nas.gov.ua/Record/uajuacgovua-article-275</guid>
      <author>Kryvoshein, Oleksandr</author>
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      <dc:date>2024</dc:date>
      <dc:creator>Kryvoshein, Oleksandr</dc:creator>
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    <item>
      <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>
      <guid>https://harvester.nas.gov.ua/Record/drspiprikievua-article-287018</guid>
      <author>Федорченко, Є. М.</author>
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      <dc:date>2023</dc:date>
      <dc:creator>Федорченко, Є. М.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>An automated scenario generation system for analytical activities.</title>
      <pubDate>Thu, 17 Jul 2025 10:57:31 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-179167</link>
      <guid>https://harvester.nas.gov.ua/Record/drspiprikievua-article-179167</guid>
      <author>Dodonov, O. G.</author>
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      <dc:date>2019</dc:date>
      <dc:creator>Dodonov, O. G.</dc:creator>
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    <item>
      <title>Some aspects of software engineering for AI-based systems</title>
      <pubDate>Thu, 17 Jul 2025 10:07:04 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-512</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-512</guid>
      <author>Liubchenko, V.V.</author>
      <dc:format>Article</dc:format>
      <dc:date>2023</dc:date>
      <dc:creator>Liubchenko, V.V.</dc:creator>
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    <item>
      <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>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-441</guid>
      <author>Zhyrkova, A.P.</author>
      <dc:format>Article</dc:format>
      <dc:date>2021</dc:date>
      <dc:creator>Zhyrkova, A.P.</dc:creator>
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    <item>
      <title>Using metadata to resolve big data problems</title>
      <pubDate>Thu, 17 Jul 2025 10:05:50 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-362</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-362</guid>
      <author>Zakharova, O.V.</author>
      <dc:format>Article</dc:format>
      <dc:date>2019</dc:date>
      <dc:creator>Zakharova, O.V.</dc:creator>
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    <item>
      <title>Main Aspects of Big Data Semantic Annotation</title>
      <pubDate>Thu, 17 Jul 2025 10:01:06 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-436</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-436</guid>
      <author>Zakharova, O.V.</author>
      <dc:format>Article</dc:format>
      <dc:date>2021</dc:date>
      <dc:creator>Zakharova, O.V.</dc:creator>
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    <item>
      <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>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-427</guid>
      <author>Andon, P.I.</author>
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      <dc:date>2020</dc:date>
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      <title>User-centric technology stack for weather  and air pollution forecasting</title>
      <pubDate>Thu, 17 Jul 2025 09:57:58 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-672</link>
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      <author>Doroshenko, A.Yu.</author>
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      <dc:date>2025</dc:date>
      <dc:creator>Doroshenko, A.Yu.</dc:creator>
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      <title>Application of neural networks in OLAP-systems</title>
      <pubDate>Thu, 17 Jul 2025 09:57:49 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-658</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-658</guid>
      <author>Nabibayeva, G.Ch.</author>
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      <dc:date>2024</dc:date>
      <dc:creator>Nabibayeva, G.Ch.</dc:creator>
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      <title>Neurosymbolic approach for attack detection in satellite  communication systems</title>
      <pubDate>Thu, 17 Jul 2025 09:57:44 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-640</link>
      <guid>https://harvester.nas.gov.ua/Record/pp_isofts_kiev_ua-article-640</guid>
      <author>Mostovyi, O.S.</author>
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      <dc:date>2024</dc:date>
      <dc:creator>Mostovyi, O.S.</dc:creator>
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      <title>Forecasting electrical energy  consumption for 24 hours ahead at country scale</title>
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