Научные статьи: Recent submissions

  • Aldaya, Maktagul; Kudaibergenov, Serik (Filomat, 2023)
  • Shaimardan, Serikbol; Persson, Lars-Erik; Tokmagambetov, Niyaz (Faculty of Sciences and Mathematics, 2020)
    In this paper, we investigate difference-differential operators of parabolic and hyperbolic types. Namely, we consider non-homogenous heat and wave equations for Rubin’s difference operator. Wellposedness results are ...
  • Manikandan, K.; Serikbayev, N.; Aravinthan, D.; Hosseini, K. (Partial Differential Equations in Applied Mathematics, 2024)
    In the realm of spatio-temporal fractional dynamics in a predator–prey system, we investigate fractional solitary wave-like solutions using the conformable space–time fractional coupled diffusion equation. To achieve ...
  • Sabir, Zulqurnain; Ahmad Bhat, Shahid; Wahab, Hafiz Abdul; Camargo, Maria Emilia; Abildinova, Gulmira; Zulpykhar, Zhandos (Chaos, Solitons and Fractals, 2024)
    The numerical procedures of the fractional order kidney function model (FO-KFM) are presented in this study. These derivatives are implemented to get the precise and accurate solutions of FO-KFM. The nonlinear form of ...
  • Kassenova, T.K.; Tsyba, P.Yu.; Razina, O.V.; Myrzakulov, R. (Physica A, 2022)
    This work is dedicated to the consideration of the construction of a representation of braid group generators from vertex models with N-states, which provides a great way to study the knot invariant. An algebraic formula ...
  • Kozybaev, Daniyar; Umirbaev, Ualbai; Zhelyabin, Viktor (Linear Algebra and its Applications, 2022)
    Locally finiteness of some varieties of nonassociative coalgebras is studied and the Gelfand-Dorfman construction for Novikov coalgebras and the Kantor construction for Jordan super-coalgebras are given. We give examples ...
  • Dyachenko, Mikhail; Nursultanov, Erlan; Tikhonov, Sergey; Weisz, Ferenc (Journal of Functional Analysis, 2023)
  • Nursultanov, Erlan; Tikhonov, Sergey (Bulletin des Sciences Mathématiques, 2020)
    In this paper, we introduce the Wiener–Beurling space, which generalize the Wiener space of absolutely convergent Fourier series, the Berling space as well as the Cesàro and Copson spaces. We investigate their main ...
  • Akylzhanov, Rauan; Ruzhansky, Michael; Nursultanov, Erlan (Journal of Mathematical Analysis and Applications, 2019)
  • Kerimkhulle, Seyit; Obrosova, Nataliia; Shananin, Alexander; Tokhmetov, Akylbek (Mathematics, 2023)
    The global macroeconomic shocks of the last decade entail the restructuring of national production networks and induce processes of input substitution. We suggest mathematical tools of Young duality for variational ...
  • NURLAN, ZHANSERIK; ZHUKABAYEVA, TAMARA; OTHMAN, MOHAMED; ADAMOVA, AIGUL; ZHAKIYEV, NURKHAT (IEEE Access, 2022)
    Nowadays, network technologies are developing very rapidly. The growing volume of transmitted information (video, data, VoIP, etc.), the physical growth of networks, and inter-network traffic are forcing manufacturers ...
  • Momeni, Davood; Faizal, Mir; Alsaleh, Salwa; Alasfar, Lina; Myrzakul, Aizhan; Myrzakulov, Ratbay (Eurasian Physical Technical Journal C, 2018)
    In this paper, we will analyze the connection between the fidelity susceptibility, the holographic complexity and the thermodynamic volume. We will regularize the fidelity susceptibility and the holographic complexity ...
  • Melnikova, G B; Ledvig, O G; Chizhik, S A; Kozlovskiy, A L; Zdorovec, M V (IOP Conference Series: Materials Science and Engineering, 2019)
    In this research, the surfaces of track PETF-membranes were modified by LangmuirBlodgett (LB) films of Nafion. The changes of structure of modified membranes were studied by atomic force microscopy (AFM). The LB-film of ...
  • Aldungarova, Aliya; Sarabekova, Ulbossyn; Zhusupbekov, Askar; Tanaka, Tadatsugu; Tanzhariko, Panabek (IOP Conference Series: Materials Science and Engineering, 2021)
    The article shows the main causes of accidents dams, including the effect influence of the undermining of territories. The aim of this work was to evaluate the possibility the formations in the model of the dams a ...
  • Meiramkulova, Kulyash; Tanybayeva, Zhanar; Kydyrbekova, Assel; Turbekova, Arysgul; Aytkhozhin, Serik; Zhantasov, Serik; Taukenov, Aman (Sustainability, 2021)
    Light qualities are considered to affect many plant physiological processes during growth and development. To investigate how light qualities make an influence on tomato seedlings under greenhouse conditions, the growth ...
  • Zhussupbekov, Askar Zh.; Montayeva, Ainur S.; Montayev, Sarsenbek A. (Periodicals of Engineering and Natural Sciences, 2021)
    The design, construction, and maintenance of pile foundations are dependent on special weather conditions in Northern and Central part of Kazakhstan. The winter months in these areas are very long which starts from ...
  • Kodsi, Salma Al; Oda, Kazuhiro; Awwad, Talal (International Journal of GEOMATE, 2018)
    Skin friction distribution occurs due to a relative movement between pile and adjacent soil. Varied factors affecting this movement get the soil to, occasionally, settle more than that of the pile. In this case, negative ...
  • Omarov, Abdulla R.; Kuderin, Marat; Zhussupbekov, Askar; Kaliakin, Victor N.; Iskakov, Sultan (International Journal of GEOMATE, 2021)
    The construction of unique structures is complicated by the fact that codes and standards do not exactly apply to such structures. This paper presents an overview of the analysis, design, wind tunnel testing and field ...
  • Kunelbayev, Murat; Abdildayeva, Assel; Taganova, Guldana (INTERNATIONAL JOURNAL OF MECHANICS, 2021)
    This article explores the use of machine learning algorithms to identify anomalies in the solar heating system. A solar heating system that has been developed consists of several parts to simplify the description ...
  • Murzabekova, Gulden; Glazyrina, Natalya; Nekessova, Anargul; Ismailova, Aisulu; Bazarova, Madina; Kashkimbayeva, Nurzhamal; Mukhametzhanova, Bigul; Aldashova, Madina (International Journal of Electrical and Computer Engineering, 2023)
    The use of deep learning algorithms for the classification of crop diseases is one of the promising areas in agricultural technology. This is due to the need for rapid and accurate detection of plant diseases, which ...

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