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    <title>Результати для "Neural network"</title>
    <description>Показ 1 - 50 результатів із 105</description>
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      <title>PREDICTION OF ENERGY EFFICIENCY OF SCREW COMPRESSORS IN AMMONIA REFRIGERATION SYSTEMS WITH FREQUENCY CONTROL USING A NEURAL NETWORK</title>
      <pubDate>Tue, 24 Mar 2026 02:03:42 +0000</pubDate>
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      <title>Improving the accuracy of modeling the trend and seasonal components in the medium-term forecasting of the consumed electric power from the integrated power system</title>
      <pubDate>Tue, 24 Mar 2026 02:01:48 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/systemreorg-article-446</link>
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      <author>Martyniuk A.</author>
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      <title>Operational diagnostics of main equipment APP</title>
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      <title>RESEARCH ON THE EFFECTIVENESS OF THE PROPHET NEURAL NETWORK FOR DETERMINING WIND FLOW PARAMETERS</title>
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      <link>https://harvester.nas.gov.ua/Record/veorgua-article-585</link>
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      <title>Use of neural networks for studying nontraditional  hydrocarbon reservoirs  (an example of Visean black shales  of the Dnipro-Donets Basin)</title>
      <pubDate>Sun, 08 Feb 2026 08:06:56 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/journalsuranua-geofizicheskiy-article-341701</link>
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      <title>Development of a NARX neural network for a tribo-aero-electrostatic separator with rotating disk electrodes</title>
      <pubDate>Sun, 08 Feb 2026 08:04:51 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-339775</link>
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      <title>A modern approach to calculating the abilities and capabilities of military units to perform tasks using artificial intelligence</title>
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      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-345668</link>
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      <title>Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm</title>
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      <title>Model building for current transformer paper-oil insulation state diagnostics</title>
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      <title>An intelligent chatbot for evaluating the  emotional colouring of a message and responding accordingly</title>
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      <title>APPLICATION OF DEEP LEARNING NEURAL  NETWORK FOR CLASSIFICATION OF BIG DATA  OF ASTRONOMIC OBSERVATIONS</title>
      <pubDate>Tue, 02 Dec 2025 15:38:13 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/rpra-journalorgua-article-1275</link>
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      <title>Digital twins in intrusion   detection systems based on deep learning</title>
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      <title>Розробка штучної нейронної мережі для інформаційно-вимірювальної системи контролю геометричних розмірів енергетичного обладнання</title>
      <pubDate>Wed, 24 Sep 2025 17:34:10 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/oai:www.systemre.org:article-887</link>
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      <author>Kacprzyk, Janusz</author>
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      <title>APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTING THE THERMAL STATE  OF AN AIR-SOIL HEAT EXCHANGER</title>
      <pubDate>Wed, 17 Sep 2025 09:27:37 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/veorgua-article-537</link>
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      <author>Basok , B.</author>
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      <title>HYBRID APPROACH TO MAXIMUM POWER POINT TRACKING IN PHOTOELECTRIC SYSTEMS</title>
      <pubDate>Wed, 17 Sep 2025 09:27:36 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/veorgua-article-532</link>
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      <author>Bosak , A.</author>
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      <title>Assessment of changes in the technical condition of damaged multi-story buildings by using artificial intelligence</title>
      <pubDate>Wed, 17 Sep 2025 09:27:03 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/es-journalinua-article-335882</link>
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      <author>Berchun, Yaroslav</author>
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      <title>Mathematical model of the distribution of radio monitoring resources for observation of satellite communication channels using neural networks</title>
      <pubDate>Wed, 17 Sep 2025 09:27:01 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/es-journalinua-article-328616</link>
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      <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>
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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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      <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>
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      <title>Overview and comparison of neural network models  for diagnostics and quality control in the production of printed circuit boards</title>
      <pubDate>Wed, 17 Sep 2025 09:26:44 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/drspiprikievua-article-336051</link>
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      <author>Верлань , А.А.</author>
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      <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>
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      <author>Lаshchоnov, B.V.</author>
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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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      <title>Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method</title>
      <pubDate>Thu, 17 Jul 2025 12:01:30 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/oai:ojs.journals.uran.ua:article-144153</link>
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      <author>Biblik, Irina V.</author>
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      <title>Simulation of ion-atom interactions at the corpuscular bombardment of the surface of steel samples</title>
      <pubDate>Thu, 17 Jul 2025 11:59:13 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/oai:ojs.journals.uran.ua:article-35909</link>
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      <author>Гончаров, Виталий Викторович</author>
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      <title>Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method</title>
      <pubDate>Thu, 17 Jul 2025 11:55:27 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/journalsuranuajme-article-144153</link>
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      <author>Biblik, Irina V.</author>
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      <title>Simulation of ion-atom interactions at the corpuscular bombardment of the surface of steel samples</title>
      <pubDate>Thu, 17 Jul 2025 11:53:13 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/journalsuranuajme-article-35909</link>
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      <title>The effect of SiO2 microparticle concentration on the electrical and thermal properties of silicone rubber for electrical insulation applications</title>
      <pubDate>Thu, 17 Jul 2025 11:50:28 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-312620</link>
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      <title>Computer-economical optimization method for solving inverse problems of determining electrophysical properties of objects in eddy current structroscopy</title>
      <pubDate>Thu, 17 Jul 2025 11:50:18 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-305610</link>
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      <author>Halchenko, V. Ya.</author>
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      <title>Artificial neural network and discrete wavelet transform for inter-turn short circuit and broken rotor bars faults diagnosis under various operating conditions</title>
      <pubDate>Thu, 17 Jul 2025 11:50:13 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-302819</link>
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      <title>Application of a wavelet neural network approach to detect stator winding short circuits in asynchronous machines</title>
      <pubDate>Thu, 17 Jul 2025 11:49:38 +0000</pubDate>
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      <title>Diagnosis and localization of fault for a neutral point clamped inverter in wind energy conversion system using artificial neural network technique</title>
      <pubDate>Thu, 17 Jul 2025 11:49:23 +0000</pubDate>
      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-263257</link>
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      <author>Abid, M.</author>
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      <title>Optimal performance assessment of intelligent controllers used in solar-powered electric vehicle</title>
      <pubDate>Thu, 17 Jul 2025 11:49:13 +0000</pubDate>
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      <link>https://harvester.nas.gov.ua/Record/eiekhpieduua-article-48731</link>
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      <link>https://harvester.nas.gov.ua/Record/uajuacgovua-article-175</link>
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