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Now showing items 4821-4840 of 30928
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m кiрiстерi және n шығыстары бар объектiлердiң орнықсыз және детерминделген бейберекетсiз режимдерiн басқару
(ЕНУ им. Л.Н. Гумилева, 2019)Мақалада, m кiрiстерi және n шығыстары бар жүйелер үшiн апаттық теориясынан гиперболикалық омбилика апатының сыныбындағы бейсызықты объектiлердiң детерминделген бейберекетсiз режимдерiмен басқару жүйесiн құру әдiсi ұсынылған. Бұл жерде, робасты орнықтылықтың потенциалын жоғарлату, «бiртүрлi аттрактордың» туындауын детерминделген бейберекетсiз режимiнен жүйенi қорғаудың кепiлдi ...2023-05-30 -
M. Mырзахметұлы Бауыржан Момышұлы жайында
(ЕНУ им. Л.Н. Гумилева, 2019)Мақалада көрнекті әдебиеттанушы ғалым, филология ғылымдарының докторы, профессор, Мемлекеттік сыйлықтың иегері Мекемтас Мырзахметұлының зерттеулеріндегі Бауыржан Момышұлы тұлғасы қарастырылады. Ғалымның «Бауыржан батыр» атты еңбегі көркемдік-идеялық тұрғысынан талданып, соның негізінде Б.Момышұлының азаматтық болмысы, шығармашылық бейнесі танылады. М.Мырзахметұлы еңбегі бойынша, ...2023-08-16 -
M87 АСА АУЫР ҚАРА ҚҰРДЫМЫНЫҢ ТЕРМОДИНАМИКАЛЫҚ ПРОЦЕСТЕРІ
(Л.Н. Гумилев атындағы Еуразия ұлттық университеті, 2025)2026-05-06 -
MAC OS X ОПЕРАЦИЯЛЫҚ ЖҮЙЕСІН БІЛІМ БЕРУ САЛАСЫНДА ҚОЛДАНУ ТИІМДІЛІГІ
(Л.Н.Гумилев атындағы Еуразия ұлттық университеті, 2014)2025-12-08 -
MACHINE LEARNING ALGORITHMS IN SIEM SYSTEMS FOR ENHANCED DETECTION AND MANAGEMENT OF SECURITY EVENTS
(2024)As cyber threats become increasingly sophisticated, traditional Security Information and Event Management (SIEM) systems face challenges in effectively identifying and responding to these dangers. This research presents the development of a SIEM system integrated with machine learning (ML) to enhance threat detection, anomaly identification, and automated incident response. The ...2025-06-11 -
Machine learning for real estate valuation: Astana, Kazakhstan case
(Indonesian Journal of Electrical Engineering and Computer Science, 2024)Purpose of this research is to investigate the accuracy of machine learning models in forecasting and evaluating house prices, and to understand the key factors that impact pricing. The study involved analyzing data scraped from real estate ads in the “sale of secondary housing” category on the website krisha.kz. The paper emphasizes the importance of understanding the ...2026-03-26 -
Machine learning for real estate valuation: Astana, Kazakhstan case
(Indonesian Journal of Electrical Engineering and Computer Science, 2024)Purpose of this research is to investigate the accuracy of machine learning models in forecasting and evaluating house prices, and to understand the key factors that impact pricing. The study involved analyzing data scraped from real estate ads in the “sale of secondary housing” category on the website krisha.kz. The paper emphasizes the importance of understanding the ...2026-03-19 -
Machine learning for real estate valuation: Astana, Kazakhstan case
(Indonesian Journal of Electrical Engineering and Computer Science, 2024)Purpose of this research is to investigate the accuracy of machine learning models in forecasting and evaluating house prices, and to understand the key factors that impact pricing. The study involved analyzing data scraped from real estate ads in the “sale of secondary housing” category on the website krisha.kz. The paper emphasizes the importance of understanding the ...2026-03-11 -
Machine Learning for the Communication Optimization in Distributed Systems
(International Journal of Engineering & Technology, 2018)The objective of the work that is presented in this paper was the problem of the communication optimization and detection of the issues of computing resources performance degradation [1, 2] with the usage of machine learning techniques. Computer networks transmit payload data and the meta-data from numerous sources towards vast number of destinations, especially in multi-tenant ...2024-12-11 -
Machine Learning for the Communication Optimization in Distributed Systems
(International Journal of Engineering & Technology, 2018)The objective of the work that is presented in this paper was the problem of the communication optimization and detection of the issues of computing resources performance degradation [1, 2] with the usage of machine learning techniques. Computer networks transmit payload data and the meta-data from numerous sources towards vast number of destinations, especially in multi-tenant ...2024-09-17 -
Machine Learning for the Communication Optimization in Distributed Systems
(International Journal of Engineering & Technology, 2018)The objective of the work that is presented in this paper was the problem of the communication optimization and detection of the issues of computing resources performance degradation [1, 2] with the usage of machine learning techniques. Computer networks transmit payload data and the meta-data from numerous sources towards vast number of destinations, especially in multi-tenant ...2024-09-12 -
Machine Learning for the Communication Optimization in Distributed Systems
(International Journal of Engineering & Technology, 2018)The objective of the work that is presented in this paper was the problem of the communication optimization and detection of the issues of computing resources performance degradation [1, 2] with the usage of machine learning techniques. Computer networks transmit payload data and the meta-data from numerous sources towards vast number of destinations, especially in multi-tenant ...2024-10-16 -
Machine Learning for the Communication Optimization in Distributed Systems
(International Journal of Engineering & Technology, 2018)The objective of the work that is presented in this paper was the problem of the communication optimization and detection of the issues of computing resources performance degradation [1, 2] with the usage of machine learning techniques. Computer networks transmit payload data and the meta-data from numerous sources towards vast number of destinations, especially in multi-tenant ...2024-11-26 -
MACROMEDIA FLASH ОРТАСЫНДА ЭЛЕКТРОНДЫ ОҚЫТУ БАДАРЛАМАСЫН ҚҰРУ ЕРЕКШЕЛІКТЕРІ
(Л.Н.Гумилев атындағы Еуразия ұлттық университеті, 2014)2025-12-09 -
Macrophytes of the Floodplain swamps of the Akmola Region
(2025)This paper presents the results of the research on macrophytes of floodplain swamps of the coastal territories of the Aktastinka River and wetlands of Aktasty village, located in Arshalinsky district, Akmola region of the Republic of Kazakhstan. The inventory revealed the floristic composition of the Aktastinka village locality and the coastal territory. Along with species ...2025-06-04 -
Magnetic anisotropy and stability of Fe3Ga compounds
(2021)The magnetic anisotropy energy and the stability of crystal modifications of D03 and L21 of Fe3Ga compounds are studied with the density functional theory methods. The magnetic anisotropy energy of the D03 structure is more than twice the same value for the L21 structure. The features in the electronic structure lead to the difference in the magnitude of spin-orbit interaction, ...2023-12-05 -
Magnetic anisotropy and stability of Fe3Ga compounds
(Eurasian Journal of Physics and Functional Materials, 2021)The magnetic anisotropy energy and the stability of crystal modifications of D03 and L21 of Fe3Ga compounds are studied with the density functional theory methods. The magnetic anisotropy energy of the D03 structure is more than twice the same value for the L21 structure. The features in the electronic structure lead to the difference in the magnitude of spin-orbit interaction, ...2025-01-22
