База данных: Статьи
Страница 7, Результатов: 90
Отмеченные записи: 0
61.
Подробнее
81
R11
Rakhimbekova, G. O.
Issues of teaching students of non-linguistic universities a professionally-oriented foreign language [Текст] / G. O. Rakhimbekova, O. A. Zhumadillayeva // Bulletin of National Academy of Sciences of the Republic of Kazakhstan. - 2021. - №3. - P. 203-207
ББК 81
Рубрики: Philology
Кл.слова (ненормированные):
professionally-oriented foreign language -- formation of socio-cultural knowledge -- learning process -- communication in a foreign language -- interdisciplinary communication -- communicative situation -- integration with special disciplines
Аннотация: The article discusses the issues of teacing professionally-oriented foreign languages of students of non-linguistic specialties, which are especially relevant due to the growing role of foreign language communication in the professional activities of modern professionals.
Держатели документа:
WKU
Доп.точки доступа:
Zhumadillayeva, O.A.
R11
Rakhimbekova, G. O.
Issues of teaching students of non-linguistic universities a professionally-oriented foreign language [Текст] / G. O. Rakhimbekova, O. A. Zhumadillayeva // Bulletin of National Academy of Sciences of the Republic of Kazakhstan. - 2021. - №3. - P. 203-207
Рубрики: Philology
Кл.слова (ненормированные):
professionally-oriented foreign language -- formation of socio-cultural knowledge -- learning process -- communication in a foreign language -- interdisciplinary communication -- communicative situation -- integration with special disciplines
Аннотация: The article discusses the issues of teacing professionally-oriented foreign languages of students of non-linguistic specialties, which are especially relevant due to the growing role of foreign language communication in the professional activities of modern professionals.
Держатели документа:
WKU
Доп.точки доступа:
Zhumadillayeva, O.A.
62.
Подробнее
65
N94
Nurgabylov , M. N.
Observational learning and modeling theory [Текст] / M. N. Nurgabylov , A. N. Narenova [et al.] // Қазақстан Республикасының Ұлттық Ғылыми Академиясының баяндамалары. - 2020. - №1. - P. 168-176
ББК 65
Рубрики: management
Кл.слова (ненормированные):
learning -- impact -- teaching -- suggestibility -- modeling theory -- обучение -- воздействие -- внушаемость теория моделирования
Аннотация: Статья основана на конкретных примерах компании,анализирует теорию,с помощью которой люди могут влиять или влиять на поведение других коллег или товарищей.In this thesis,because it is work environment,the main focus is on work environment and workplace suggestibility and impact.
Держатели документа:
WKU
Доп.точки доступа:
Narenova , A.N.
Nazikova, Zh.A.
Shamuratova, N.B.
Kenzhebaeva , M.T.
N94
Nurgabylov , M. N.
Observational learning and modeling theory [Текст] / M. N. Nurgabylov , A. N. Narenova [et al.] // Қазақстан Республикасының Ұлттық Ғылыми Академиясының баяндамалары. - 2020. - №1. - P. 168-176
Рубрики: management
Кл.слова (ненормированные):
learning -- impact -- teaching -- suggestibility -- modeling theory -- обучение -- воздействие -- внушаемость теория моделирования
Аннотация: Статья основана на конкретных примерах компании,анализирует теорию,с помощью которой люди могут влиять или влиять на поведение других коллег или товарищей.In this thesis,because it is work environment,the main focus is on work environment and workplace suggestibility and impact.
Держатели документа:
WKU
Доп.точки доступа:
Narenova , A.N.
Nazikova, Zh.A.
Shamuratova, N.B.
Kenzhebaeva , M.T.
63.
Подробнее
74.262.4
И 50
Имангалиева, Б. С.
"Электролиттік диссоциация" тақырыбын оқытуда LearningApps.jrg технологиясын қолдану [Текст] / Б. С. Имангалиева, Ж. Б. Тәштілеу // Химия мектепте. - 2020. - №6. - Б. 11-15
ББК 74.262.4
Рубрики: Методика преподавания химии
Кл.слова (ненормированные):
Қышқылдар -- Диссоциациялану дәрежесі -- Электролиттер -- LearningApps.org бағдарламасы -- Гидроксид
Аннотация: Мақалада мектептерде химия пәнін оқыту барысында теориялық білімді терең меңгерту,оқушылардың алған білімдерін қорытындылауға мүмкіндік беретін LearninigApps.org бағдарламасын қолдану
Держатели документа:
БҚУ
Доп.точки доступа:
Тәштілеу, Ж.Б.
И 50
Имангалиева, Б. С.
"Электролиттік диссоциация" тақырыбын оқытуда LearningApps.jrg технологиясын қолдану [Текст] / Б. С. Имангалиева, Ж. Б. Тәштілеу // Химия мектепте. - 2020. - №6. - Б. 11-15
Рубрики: Методика преподавания химии
Кл.слова (ненормированные):
Қышқылдар -- Диссоциациялану дәрежесі -- Электролиттер -- LearningApps.org бағдарламасы -- Гидроксид
Аннотация: Мақалада мектептерде химия пәнін оқыту барысында теориялық білімді терең меңгерту,оқушылардың алған білімдерін қорытындылауға мүмкіндік беретін LearninigApps.org бағдарламасын қолдану
Держатели документа:
БҚУ
Доп.точки доступа:
Тәштілеу, Ж.Б.
64.
Подробнее
74
U44
Umerbayeva, A. Zh.
Application of project - based learning in the curriculum process: experiences of different countries [Текст] / A. Zh. Umerbayeva, L. E. Anuarova, K. Kh. Makhmudova // Қазақстан жоғары мектебі . - 2022. - №1. - Р. 48-51
ББК 74
Рубрики: Education
Кл.слова (ненормированные):
project-oriented learning -- project method -- social skills -- case studies -- educational effectiveness
Аннотация: Experiences of using project - oriented methods in teaching have been carried out and accumulated in educational systems of different countries.
Держатели документа:
WKU
Доп.точки доступа:
Anuarova, L.E.
Makhmudova, K.Kh.
U44
Umerbayeva, A. Zh.
Application of project - based learning in the curriculum process: experiences of different countries [Текст] / A. Zh. Umerbayeva, L. E. Anuarova, K. Kh. Makhmudova // Қазақстан жоғары мектебі . - 2022. - №1. - Р. 48-51
Рубрики: Education
Кл.слова (ненормированные):
project-oriented learning -- project method -- social skills -- case studies -- educational effectiveness
Аннотация: Experiences of using project - oriented methods in teaching have been carried out and accumulated in educational systems of different countries.
Держатели документа:
WKU
Доп.точки доступа:
Anuarova, L.E.
Makhmudova, K.Kh.
65.
Подробнее
28
N94
Nurtas, M.
Applying neural network for predicting cardiovascular disease risk [Текст] / M. Nurtas, Zh. Baishemirov [et al.] // News of the National Academy Ofsciences of the Republic of Kazakhstan. - 2020. - №4. - P. 28-34
ББК 28
Рубрики: Biology
Кл.слова (ненормированные):
neural network -- cardiovascular system diseases -- predicting models -- supervised learning -- keras
Аннотация: This aticle concerns the problem of the prevalence of cardiovascular disease in economically developed countries.
Держатели документа:
WKU
Доп.точки доступа:
Baishemirov, Zh.
Tsay, V.
Tastanov, M.
Zhanabekov, Zh.
N94
Nurtas, M.
Applying neural network for predicting cardiovascular disease risk [Текст] / M. Nurtas, Zh. Baishemirov [et al.] // News of the National Academy Ofsciences of the Republic of Kazakhstan. - 2020. - №4. - P. 28-34
Рубрики: Biology
Кл.слова (ненормированные):
neural network -- cardiovascular system diseases -- predicting models -- supervised learning -- keras
Аннотация: This aticle concerns the problem of the prevalence of cardiovascular disease in economically developed countries.
Держатели документа:
WKU
Доп.точки доступа:
Baishemirov, Zh.
Tsay, V.
Tastanov, M.
Zhanabekov, Zh.
66.
Подробнее
34
N93
Nurtas, M.
Convulutional neural networks as a method to solve estimation problem of acoustic wave propagation in poroelastic media [Текст] / M. Nurtas, Zh. Baishemirov [et al.] // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4. - Р. 42-60
ББК 34
Рубрики: Technics
Кл.слова (ненормированные):
newral network -- convolutional neural network -- acoustic wave propagation -- predicting models -- supervised learning -- activation function -- pytorch
Аннотация: This article concerns the problem of the acoustic wave propagation in the 3 layered half-space.
Держатели документа:
WKU
Доп.точки доступа:
Baishemirov, Zh.
Tsay, V.
Tastanov, M.
Zhanabekov, Zh.
N93
Nurtas, M.
Convulutional neural networks as a method to solve estimation problem of acoustic wave propagation in poroelastic media [Текст] / M. Nurtas, Zh. Baishemirov [et al.] // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4. - Р. 42-60
Рубрики: Technics
Кл.слова (ненормированные):
newral network -- convolutional neural network -- acoustic wave propagation -- predicting models -- supervised learning -- activation function -- pytorch
Аннотация: This article concerns the problem of the acoustic wave propagation in the 3 layered half-space.
Держатели документа:
WKU
Доп.точки доступа:
Baishemirov, Zh.
Tsay, V.
Tastanov, M.
Zhanabekov, Zh.
67.
Подробнее
16.632
K65
Kozhagulov, Y. T.
Comporative analysis of object detection processing speed on the basis of neuroprocessors end neuroaccelerators [Текст] / Y. T. Kozhagulov, D. M. Zhexebay, S. A. Sarmanbetov, D. Zholdas // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4. - Р. 61-67
ББК 16.632
Рубрики: Neural network
Кл.слова (ненормированные):
convulutional neural network -- neuroaccelerators -- neuroprocessor -- object detection -- deep learning
Аннотация: This paper is devoted to a comparative analysis of neural network models based on neuroprocessos.
Держатели документа:
WKU
Доп.точки доступа:
Zhexebay, D.M.
Sarmanbetov, S.A.
Zholdas, D.
K65
Kozhagulov, Y. T.
Comporative analysis of object detection processing speed on the basis of neuroprocessors end neuroaccelerators [Текст] / Y. T. Kozhagulov, D. M. Zhexebay, S. A. Sarmanbetov, D. Zholdas // News of the National Academy of sciences of the Republic of Kazakhstan. - 2020. - №4. - Р. 61-67
Рубрики: Neural network
Кл.слова (ненормированные):
convulutional neural network -- neuroaccelerators -- neuroprocessor -- object detection -- deep learning
Аннотация: This paper is devoted to a comparative analysis of neural network models based on neuroprocessos.
Держатели документа:
WKU
Доп.точки доступа:
Zhexebay, D.M.
Sarmanbetov, S.A.
Zholdas, D.
68.
Подробнее
74
M73
Minghat, A. D.
Digital education and development. [Текст] / A. D. Minghat, A. M. Alimkul, M. R. Arpentieva, F. Salim [et al.] // Bulletin of National Academy of Sciences of the Republic of Kazakhstan. - 2021. - №2. - P. 281-288
ББК 74
Рубрики: Педагогика
Кл.слова (ненормированные):
education -- e-learning -- model -- industry -- university -- innovation -- digital -- teachers
Аннотация: The purpose of this study is to analyse education to the social development and to identify gaps in e-learning in the context of training tasks for scienceand industry.
Держатели документа:
WKU
Доп.точки доступа:
Alimkul, A.M.
Arpentieva, M.R.
Salim, F.
Kassymova, G.K.
Akhmetova, A.I.
M73
Minghat, A. D.
Digital education and development. [Текст] / A. D. Minghat, A. M. Alimkul, M. R. Arpentieva, F. Salim [et al.] // Bulletin of National Academy of Sciences of the Republic of Kazakhstan. - 2021. - №2. - P. 281-288
Рубрики: Педагогика
Кл.слова (ненормированные):
education -- e-learning -- model -- industry -- university -- innovation -- digital -- teachers
Аннотация: The purpose of this study is to analyse education to the social development and to identify gaps in e-learning in the context of training tasks for scienceand industry.
Держатели документа:
WKU
Доп.точки доступа:
Alimkul, A.M.
Arpentieva, M.R.
Salim, F.
Kassymova, G.K.
Akhmetova, A.I.
69.
Подробнее
26.8
A98
Ayzel, G. V.
Forecasting of the state of the Small Aral Sea based on open data sources. [Текст] / G. V. Ayzel, A. C. Izhitskiy, A. K. Kurbaniyazov // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №4. - P. 57-64
ББК 26.8
Рубрики: geography
Кл.слова (ненормированные):
Small Aral Sea -- sea level -- machine learning river discharge -- basins -- Syrdarya -- hydrodynamic modeling
Аннотация: The study of the dynamics of the level and volume of water in the Aral Sea is urgent scientific task due to the need to understand the mechanisms of natural and anthropogenic processes that have induced a radical change in its water and salt balance over the past 60 years.
Держатели документа:
WKU
Доп.точки доступа:
Izhitskiy, A.C.
Kurbaniyazov, A.K.
A98
Ayzel, G. V.
Forecasting of the state of the Small Aral Sea based on open data sources. [Текст] / G. V. Ayzel, A. C. Izhitskiy, A. K. Kurbaniyazov // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №4. - P. 57-64
Рубрики: geography
Кл.слова (ненормированные):
Small Aral Sea -- sea level -- machine learning river discharge -- basins -- Syrdarya -- hydrodynamic modeling
Аннотация: The study of the dynamics of the level and volume of water in the Aral Sea is urgent scientific task due to the need to understand the mechanisms of natural and anthropogenic processes that have induced a radical change in its water and salt balance over the past 60 years.
Держатели документа:
WKU
Доп.точки доступа:
Izhitskiy, A.C.
Kurbaniyazov, A.K.
70.
Подробнее
22.3
M99
Myrzatay, A. A.
The effect of the amount of data array on the results of forecasting network equipment failures. [Текст] / A. A. Myrzatay, L. G. Rzayeva, G. A. Uskenbayeva, A. K. Shukirova, G. Abitova // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №6. - P. 28-36
ББК 22.3
Рубрики: physics
Кл.слова (ненормированные):
machine learning methods -- modeling of machine learning method -- network equipment failure forecasts -- LAN
Аннотация: The article discusses three methods for predicting network equipment failures and the impact of the data array of input controllers. The purpose of the article is to reveal the relevance of the approach proposed by the authors to the use of large-amount of data in the chosen method of machine learning and to make a comparative analysis of the final values with the works of other world researchers. In the first section, the authors analyze the work of scientists from the Beijing University of Post and Telecommunications, noting the strengths and weaknesses of their method. In Section 2, the authors analyze the Holt-Winters method for developing algorithms for analyzing network traffic, which was applied by researchers from the Tomsk State University of Control Systems and Radio Electronics. In section 3, the authors applied the method of random trees in the modeling of machine learning methods of Rapid Miner Studio. The authors have carried out work with a large amount of data, and a comparative analysis of the results of modeling the method. The importance of using large amounts of information to train a model of network equipment failure forecasts is proved. In the final section, the authors highlight the need to improve forecasting models for its further implementation in the working environment. Also, the authors emphasize that the two articles considered by international researchers are a special case, as well as their chosen method for predicting failures in the LAN system.
Держатели документа:
WKU
Доп.точки доступа:
Rzayeva, L.G.
Uskenbayeva, G.A.
Shukirova, A.K.
Abitova, G.
M99
Myrzatay, A. A.
The effect of the amount of data array on the results of forecasting network equipment failures. [Текст] / A. A. Myrzatay, L. G. Rzayeva, G. A. Uskenbayeva, A. K. Shukirova, G. Abitova // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №6. - P. 28-36
Рубрики: physics
Кл.слова (ненормированные):
machine learning methods -- modeling of machine learning method -- network equipment failure forecasts -- LAN
Аннотация: The article discusses three methods for predicting network equipment failures and the impact of the data array of input controllers. The purpose of the article is to reveal the relevance of the approach proposed by the authors to the use of large-amount of data in the chosen method of machine learning and to make a comparative analysis of the final values with the works of other world researchers. In the first section, the authors analyze the work of scientists from the Beijing University of Post and Telecommunications, noting the strengths and weaknesses of their method. In Section 2, the authors analyze the Holt-Winters method for developing algorithms for analyzing network traffic, which was applied by researchers from the Tomsk State University of Control Systems and Radio Electronics. In section 3, the authors applied the method of random trees in the modeling of machine learning methods of Rapid Miner Studio. The authors have carried out work with a large amount of data, and a comparative analysis of the results of modeling the method. The importance of using large amounts of information to train a model of network equipment failure forecasts is proved. In the final section, the authors highlight the need to improve forecasting models for its further implementation in the working environment. Also, the authors emphasize that the two articles considered by international researchers are a special case, as well as their chosen method for predicting failures in the LAN system.
Держатели документа:
WKU
Доп.точки доступа:
Rzayeva, L.G.
Uskenbayeva, G.A.
Shukirova, A.K.
Abitova, G.
Страница 7, Результатов: 90