Электронный каталог


 

База данных: Статьи

Страница 4, Результатов: 73

Отмеченные записи: 0

24
A98

Ayaganov, Zh. E.
    Synthesis of carbon nanotubes with ni-ti catalyst [Текст] / Zh. E. Ayaganov, M. T. Gabdullin [et al.] // Қазақстан Республикасы Ұлттық Ғылым академиясының хабарлары. - 2020. - №4. - P. 5-12
ББК 24

Рубрики: Chemistry

Кл.слова (ненормированные):
carbon nanotubes -- synthesis -- chemical vapor deposition -- catalyst -- magnetron sputtering
Аннотация: Carbon nanotubes have been of interest to the scientists for about 30 years due to their uniquie properties.
Держатели документа:
WKU
Доп.точки доступа:
Gabdullin, M.T.
Batryshev, D.G.
Ramazanov, N.R.
Guseinov, N.R.
Baughman, R.

Ayaganov, Zh.E. Synthesis of carbon nanotubes with ni-ti catalyst [Текст] / Zh. E. Ayaganov, M. T. Gabdullin [et al.] // Қазақстан Республикасы Ұлттық Ғылым академиясының хабарлары. - 2020. - №4.- P.5-12

31.

Ayaganov, Zh.E. Synthesis of carbon nanotubes with ni-ti catalyst [Текст] / Zh. E. Ayaganov, M. T. Gabdullin [et al.] // Қазақстан Республикасы Ұлттық Ғылым академиясының хабарлары. - 2020. - №4.- P.5-12


24
A98

Ayaganov, Zh. E.
    Synthesis of carbon nanotubes with ni-ti catalyst [Текст] / Zh. E. Ayaganov, M. T. Gabdullin [et al.] // Қазақстан Республикасы Ұлттық Ғылым академиясының хабарлары. - 2020. - №4. - P. 5-12
ББК 24

Рубрики: Chemistry

Кл.слова (ненормированные):
carbon nanotubes -- synthesis -- chemical vapor deposition -- catalyst -- magnetron sputtering
Аннотация: Carbon nanotubes have been of interest to the scientists for about 30 years due to their uniquie properties.
Держатели документа:
WKU
Доп.точки доступа:
Gabdullin, M.T.
Batryshev, D.G.
Ramazanov, N.R.
Guseinov, N.R.
Baughman, R.

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.

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

32.

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


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.

41.2
P90

Prysiazhniuk, L. M.
    Assessment of maize grain quality by DNA markers. [Текст] / L. M. Prysiazhniuk // Bulletin of National Academy of Sciences of the Republic of Kazakhstan. - 2021. - №1. - P. 89-95
ББК 41.2

Рубрики: Растениеводство

Кл.слова (ненормированные):
SSR markers -- lysine -- tryptophan -- waxiness -- wx gene
Аннотация: The article presents the results of maize lines examination using SSR markers carried out in the order to select genotypes with a high content of lysine and tryptophan and waxinees.
Держатели документа:
WKU
Доп.точки доступа:
Honcharov, Yu.V.
Shytikova, Yu.V.
Melnyk, S.I.

Prysiazhniuk, L.M. Assessment of maize grain quality by DNA markers. [Текст] / L. M. Prysiazhniuk // Bulletin of National Academy of Sciences of the Republic of Kazakhstan. - 2021. - №1.- P.89-95

33.

Prysiazhniuk, L.M. Assessment of maize grain quality by DNA markers. [Текст] / L. M. Prysiazhniuk // Bulletin of National Academy of Sciences of the Republic of Kazakhstan. - 2021. - №1.- P.89-95


41.2
P90

Prysiazhniuk, L. M.
    Assessment of maize grain quality by DNA markers. [Текст] / L. M. Prysiazhniuk // Bulletin of National Academy of Sciences of the Republic of Kazakhstan. - 2021. - №1. - P. 89-95
ББК 41.2

Рубрики: Растениеводство

Кл.слова (ненормированные):
SSR markers -- lysine -- tryptophan -- waxiness -- wx gene
Аннотация: The article presents the results of maize lines examination using SSR markers carried out in the order to select genotypes with a high content of lysine and tryptophan and waxinees.
Держатели документа:
WKU
Доп.точки доступа:
Honcharov, Yu.V.
Shytikova, Yu.V.
Melnyk, S.I.

65
A15

Abieva, S. N.
    State and analysis of development of transport and logistics infrastructure in Kazakhstan. [Текст] / S. N. Abieva, Zh. Zh. Temirova, G. T. Ongarova // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №2. - P. 93-99
ББК 65

Рубрики: Economics

Кл.слова (ненормированные):
logistics -- transport system -- integration -- transport and logistics system -- cargo transportation
Аннотация: The article deals with the issue that is relevant for many countries -transport and logistics infrastructure, since logistics, as the most effective , market-oriented way of planning forming and developing commodity and related flows with the lowest costs in the entire logistics chain, has firmly gained its position in the world market.
Держатели документа:
WKU
Доп.точки доступа:
Temirova, Zh.Zh.
Ongarova, G.T.

Abieva, S.N. State and analysis of development of transport and logistics infrastructure in Kazakhstan. [Текст] / S. N. Abieva, Zh. Zh. Temirova, G. T. Ongarova // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №2.- P.93-99

34.

Abieva, S.N. State and analysis of development of transport and logistics infrastructure in Kazakhstan. [Текст] / S. N. Abieva, Zh. Zh. Temirova, G. T. Ongarova // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №2.- P.93-99


65
A15

Abieva, S. N.
    State and analysis of development of transport and logistics infrastructure in Kazakhstan. [Текст] / S. N. Abieva, Zh. Zh. Temirova, G. T. Ongarova // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №2. - P. 93-99
ББК 65

Рубрики: Economics

Кл.слова (ненормированные):
logistics -- transport system -- integration -- transport and logistics system -- cargo transportation
Аннотация: The article deals with the issue that is relevant for many countries -transport and logistics infrastructure, since logistics, as the most effective , market-oriented way of planning forming and developing commodity and related flows with the lowest costs in the entire logistics chain, has firmly gained its position in the world market.
Держатели документа:
WKU
Доп.точки доступа:
Temirova, Zh.Zh.
Ongarova, G.T.

24(5каз)
M46

Medeuova, G. Z.
    Research on the chemical composition of snow of Almaty city. [Текст] / G. Z. Medeuova, K. N. Zhaikbay, K. O. Kishibayev // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №4. - P. 65-70
ББК 24(5каз)

Рубрики: chemistry

Кл.слова (ненормированные):
carbon oxides -- Natrium -- Magnesium -- Silicon -- Potassium -- Sodium -- Calcium -- Iron -- Chrome -- Copper -- Cadmium -- Polyphosphates -- characteristics of snow in Almaty
Аннотация: The article snows that according to the data of Kazgidromet from 2014-2015 years , Almaty takes one of the first places among the cities of Kazakhstan in terms of air pollution.
Держатели документа:
WKU
Доп.точки доступа:
Zhaikbay, K.N.
Kishibayev, K.O.

Medeuova, G.Z. Research on the chemical composition of snow of Almaty city. [Текст] / G. Z. Medeuova, K. N. Zhaikbay, K. O. Kishibayev // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №4.- P.65-70

35.

Medeuova, G.Z. Research on the chemical composition of snow of Almaty city. [Текст] / G. Z. Medeuova, K. N. Zhaikbay, K. O. Kishibayev // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №4.- P.65-70


24(5каз)
M46

Medeuova, G. Z.
    Research on the chemical composition of snow of Almaty city. [Текст] / G. Z. Medeuova, K. N. Zhaikbay, K. O. Kishibayev // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №4. - P. 65-70
ББК 24(5каз)

Рубрики: chemistry

Кл.слова (ненормированные):
carbon oxides -- Natrium -- Magnesium -- Silicon -- Potassium -- Sodium -- Calcium -- Iron -- Chrome -- Copper -- Cadmium -- Polyphosphates -- characteristics of snow in Almaty
Аннотация: The article snows that according to the data of Kazgidromet from 2014-2015 years , Almaty takes one of the first places among the cities of Kazakhstan in terms of air pollution.
Держатели документа:
WKU
Доп.точки доступа:
Zhaikbay, K.N.
Kishibayev, K.O.

28.5
R11

Rakhymberdieva, Zh. Sh.
    Molecular genetic plant analysis, Artemisia L. Genus , with ISSR-Markers. [Текст] / Zh. Sh. Rakhymberdieva, A. N. Kaliyeva, G. M. Medeuova // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №6. - P. 35-41
ББК 28.5

Рубрики: Botany

Кл.слова (ненормированные):
Artemisia L -- ISSR-Markers -- genotyping -- identification
Аннотация: Molecular genetic analysis of three plants of thistle family has been carried out in the score of this paper (Artemisia karatavica Krasch. & Abolin ex Poljakov , Artemisia cina Berg ex PoLjakov, Artemisia porrecta Krasch . ex Poljakov ).
Держатели документа:
WKU
Доп.точки доступа:
Kaliyeva, A.N.
Medeuova, G.M.

Rakhymberdieva, Zh.Sh. Molecular genetic plant analysis, Artemisia L. Genus , with ISSR-Markers. [Текст] / Zh. Sh. Rakhymberdieva, A. N. Kaliyeva, G. M. Medeuova // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №6.- P.35-41

36.

Rakhymberdieva, Zh.Sh. Molecular genetic plant analysis, Artemisia L. Genus , with ISSR-Markers. [Текст] / Zh. Sh. Rakhymberdieva, A. N. Kaliyeva, G. M. Medeuova // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №6.- P.35-41


28.5
R11

Rakhymberdieva, Zh. Sh.
    Molecular genetic plant analysis, Artemisia L. Genus , with ISSR-Markers. [Текст] / Zh. Sh. Rakhymberdieva, A. N. Kaliyeva, G. M. Medeuova // Reports of the National Academy of Sciences of the Republic of Kazakhstan. - 2020. - №6. - P. 35-41
ББК 28.5

Рубрики: Botany

Кл.слова (ненормированные):
Artemisia L -- ISSR-Markers -- genotyping -- identification
Аннотация: Molecular genetic analysis of three plants of thistle family has been carried out in the score of this paper (Artemisia karatavica Krasch. & Abolin ex Poljakov , Artemisia cina Berg ex PoLjakov, Artemisia porrecta Krasch . ex Poljakov ).
Держатели документа:
WKU
Доп.точки доступа:
Kaliyeva, A.N.
Medeuova, G.M.

28.6
С 12

Саимова, Р. У.
    Оңтүстік -Шығыс Қазақстан агроландшафтарындағы барылдауық қоңыздардың (Coleoptera, Carabidae) таксондық құрамы. [Текст] / Р. У. Саимова // Қазақстан Республикасының Ұлттық Ғылым Академиясының баяндамалары. - 2020. - №6. - Б. 65-72
ББК 28.6

Рубрики: Зоология

Кл.слова (ненормированные):
барылдауық қоңыз -- агроландшафт -- Оңтүстік -Шығыс Қазақстан -- таксондық құрам -- Carabidae
Аннотация: Мақалада барылдауық қоңыз агроценоздарында тіршлілік ететін мекені, қоректік байланыстары мен агроценозга тигізетін әсері , практикалық маңызы көрсетілді.
Держатели документа:
БҚУ

Саимова, Р.У. Оңтүстік -Шығыс Қазақстан агроландшафтарындағы барылдауық қоңыздардың (Coleoptera, Carabidae) таксондық құрамы. [Текст] / Р. У. Саимова // Қазақстан Республикасының Ұлттық Ғылым Академиясының баяндамалары. - 2020. - №6.- Б.65-72

37.

Саимова, Р.У. Оңтүстік -Шығыс Қазақстан агроландшафтарындағы барылдауық қоңыздардың (Coleoptera, Carabidae) таксондық құрамы. [Текст] / Р. У. Саимова // Қазақстан Республикасының Ұлттық Ғылым Академиясының баяндамалары. - 2020. - №6.- Б.65-72


28.6
С 12

Саимова, Р. У.
    Оңтүстік -Шығыс Қазақстан агроландшафтарындағы барылдауық қоңыздардың (Coleoptera, Carabidae) таксондық құрамы. [Текст] / Р. У. Саимова // Қазақстан Республикасының Ұлттық Ғылым Академиясының баяндамалары. - 2020. - №6. - Б. 65-72
ББК 28.6

Рубрики: Зоология

Кл.слова (ненормированные):
барылдауық қоңыз -- агроландшафт -- Оңтүстік -Шығыс Қазақстан -- таксондық құрам -- Carabidae
Аннотация: Мақалада барылдауық қоңыз агроценоздарында тіршлілік ететін мекені, қоректік байланыстары мен агроценозга тигізетін әсері , практикалық маңызы көрсетілді.
Держатели документа:
БҚУ

39.5
S28

Sayakov, O.
    3D aerodynamic analysis of awing with 2- way fluid-structure interaction. [Текст] / O. Sayakov // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №4. - P. 129-134
ББК 39.5

Рубрики: Воздушный транспорт

Кл.слова (ненормированные):
NACA 23012 airfoil -- Fluid-Structure Interaction -- ANSYS -- strongly coupling study -- deformation of the wing
Аннотация: the aircraft wings facing different weather conditions start to deform and oscillate with an unpredictable velocity and amplitude. Most of the previous studies were conducted assuming the wing as a rigid body.However, the wing analysis with Fluid-Structure Interaction(FSI)has significant effectson the results. This paper compares the strongly coupled 2-way FSI analysisof the flexible wing with a geometry of NACA 23012and a rigid body 2D winganalysis. Both studies were carried out at a Mach number of 0.075 and Reynolds number of 0.6×106for different angles of attack.Moreover, the analysis of the wing deformation at the start of the flight is also presented. Finally, it was shownthat FSI analysis gives closer results to the experimental measurements, proving the worthiness of the extra efforts of the two-way FSI analysis
Держатели документа:
WKU
Доп.точки доступа:
Zhao, Y.
Mashekova, A.

Sayakov, O. 3D aerodynamic analysis of awing with 2- way fluid-structure interaction. [Текст] / O. Sayakov // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №4.- P.129-134

38.

Sayakov, O. 3D aerodynamic analysis of awing with 2- way fluid-structure interaction. [Текст] / O. Sayakov // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №4.- P.129-134


39.5
S28

Sayakov, O.
    3D aerodynamic analysis of awing with 2- way fluid-structure interaction. [Текст] / O. Sayakov // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №4. - P. 129-134
ББК 39.5

Рубрики: Воздушный транспорт

Кл.слова (ненормированные):
NACA 23012 airfoil -- Fluid-Structure Interaction -- ANSYS -- strongly coupling study -- deformation of the wing
Аннотация: the aircraft wings facing different weather conditions start to deform and oscillate with an unpredictable velocity and amplitude. Most of the previous studies were conducted assuming the wing as a rigid body.However, the wing analysis with Fluid-Structure Interaction(FSI)has significant effectson the results. This paper compares the strongly coupled 2-way FSI analysisof the flexible wing with a geometry of NACA 23012and a rigid body 2D winganalysis. Both studies were carried out at a Mach number of 0.075 and Reynolds number of 0.6×106for different angles of attack.Moreover, the analysis of the wing deformation at the start of the flight is also presented. Finally, it was shownthat FSI analysis gives closer results to the experimental measurements, proving the worthiness of the extra efforts of the two-way FSI analysis
Держатели документа:
WKU
Доп.точки доступа:
Zhao, Y.
Mashekova, A.

35
M97

Mussabek, G. K.
    Photoluminescent nanomaterials for thermometru: silicon and carbon nanoparticles. [Текст] / G. K. Mussabek, G. K. Sadykov, S. Z. Baktygerei, A. N. Zaderko, V. V. Lisnyak // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №5. - P. 54-60
ББК 35

Рубрики: chemical Technology

Кл.слова (ненормированные):
Nanoparticles -- Photoluminescence -- Silicon nanoparticles -- Carbon nanoparticles -- Temperature -- Solvents -- Thermal Sensors
Аннотация: The article describes the features of photoluminescence (PL) of silicon and carbon nanocolloids prepared by us using known approaches. In the course of the study, Si and C nanoparticles (NPs) were dispersed in non-polar and polar liquids, respectively, in order to study their photoluminescent properties as a function of temperature.
Держатели документа:
WKU
Доп.точки доступа:
Sadykov, G.K.
Baktygerei, S.Z.
Zaderko, A.N.
Lisnyak, V.V.

Mussabek, G.K. Photoluminescent nanomaterials for thermometru: silicon and carbon nanoparticles. [Текст] / G. K. Mussabek, G. K. Sadykov, S. Z. Baktygerei, A. N. Zaderko, V. V. Lisnyak // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №5.- P.54-60

39.

Mussabek, G.K. Photoluminescent nanomaterials for thermometru: silicon and carbon nanoparticles. [Текст] / G. K. Mussabek, G. K. Sadykov, S. Z. Baktygerei, A. N. Zaderko, V. V. Lisnyak // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №5.- P.54-60


35
M97

Mussabek, G. K.
    Photoluminescent nanomaterials for thermometru: silicon and carbon nanoparticles. [Текст] / G. K. Mussabek, G. K. Sadykov, S. Z. Baktygerei, A. N. Zaderko, V. V. Lisnyak // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №5. - P. 54-60
ББК 35

Рубрики: chemical Technology

Кл.слова (ненормированные):
Nanoparticles -- Photoluminescence -- Silicon nanoparticles -- Carbon nanoparticles -- Temperature -- Solvents -- Thermal Sensors
Аннотация: The article describes the features of photoluminescence (PL) of silicon and carbon nanocolloids prepared by us using known approaches. In the course of the study, Si and C nanoparticles (NPs) were dispersed in non-polar and polar liquids, respectively, in order to study their photoluminescent properties as a function of temperature.
Держатели документа:
WKU
Доп.точки доступа:
Sadykov, G.K.
Baktygerei, S.Z.
Zaderko, A.N.
Lisnyak, V.V.

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.

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

40.

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


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.

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