Yazar "Eldin, Sayed M." seçeneğine göre listele

Listeleniyor 1 - 6 / 6
  • [ X ]
    Öğe
    A novel numerical method for solving the Caputo-Fabrizio fractional differential equation
    (Amer Inst Mathematical Sciences-Aims, 2023) Arshad, Sadia; Saleem, Iram; Akgul, Ali; Huang, Jianfei; Tang, Yifa; Eldin, Sayed M.
    In this paper, a unique and novel numerical approach-the fractional-order Caputo-Fabrizio derivative in the Caputo sense-is developed for the solution of fractional differential equations with a non-singular kernel. After converting the differential equation into its corresponding fractional integral equation, we used Simpson's 1/3 rule to estimate the fractional integral equation. A thorough study is then conducted to determine the convergence and stability of the suggested method. We undertake numerical experiments to corroborate our theoretical findings.
  • [ X ]
    Öğe
    Comprehensive investigations of (Au-Ag/Blood and Cu-Fe3O4/Blood) hybrid nanofluid over two rotating disks: Numerical and computational approach
    (Elsevier, 2023) Basit, Muhammad Abdul; Farooq, Umar; Imran, Muhammad; Fatima, Nahid; Alhushaybari, Abdullah; Noreen, Sobia; Eldin, Sayed M.
    The purpose of this work is to investigate the Darcy-Forchheimer flow of a hybrid nano -fluid within two parallel discs. We combine gold Au, silver Ag, copper Cu, and iron oxide Fe3O4 nanoparticles with base fluid blood in this framework. An appropriate similarity variables tech-nique is implemented to transform partial differential systems into ordinary systems. In the results validation section, the numerical result is evaluated using a higher-order precise algorithm (bvp4c), and determined to the analytical result is by making use of the firing approach. Pictorial judgments revealed the estimates of several physical variables that arise over the momentum distribution and thermal distribution profiles. As compared to nanofluid, hybrid nanofluid significantly improves heat transfer rate. The thermal profile is improved when the Brinkman number increases in value. As the porosity parameter is increased, the velocity profile decreases. As the amplitude of the rota-tion parameter increases, so does the pressure profile. The Darcy-Forchheimer medium investiga-tion of a hybrid nano-fluid streaming through the middle of two parallel disks is addressed, taking into account viscous dissipation and heat radiation for various nanoparticles. Additionally, enough agreement is observed when the numerical findings are compared to previously reported and analytical data. As compared to simple nanofluids, hybrid nanofluids have shown higher ther-mal properties and stability, making them attractive candidates for thermal applications such as solar thermal systems, automotive cooling systems, heat sinks, engineering, medical fields, or ther-mal energy storage.(c) 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
  • [ X ]
    Öğe
    Enhancing Semantic Code Search With Deep Graph Matching
    (IEEE-Inst Electrical Electronics Engineers Inc, 2023) Bibi, Nazia; Maqbool, Ayesha; Rana, Tauseef; Afzal, Farkhanda; Akgul, Ali; Eldin, Sayed M.
    The job of discovering appropriate code snippets against a natural language query is an important task for software developers. Appropriate code retrieval increases software productivity and quality as well. In contrast to traditional information retrieval techniques, code search necessitates bridging the semantic breach between programming languages and natural language to search code fragments. Deep neural networks for search codes have recently been a hot topic in research. The standard neural code quest approaches present source code and query in the form of text as independent embedding, then calculate the semantic similarity between them using vector distance (e.g., using cosine similarity). Although recent research utilized query and code snippets during code search, it overlooked the contained rich semantic information and deep structural features between them. In this study, we are also dealing with the problem of code search by providing a deep neural solution that facilitates software developers during software development. Our proposed model effectively used neural graph matching and a searching approach for semantic code retrieval. It first converts both query and code fragments in graph format and then the semantic matching module is used to facilitate the process of matching that will retrieve the best-matched code snippets. It not only exploits the enriched semantic meanings and features, but it also uses the cross-attention mechanism to learn the fine-grained similarity that exists between query and code. The proposed model's evaluation is done using the Codesearchnet dataset with six representative programming languages. It provides comparatively good results as compared to existing baselines. It enables users to find required code snippets, and ranking is used to retrieve top 10 results. The accuracy of the proposed system is approximately 97%.
  • [ X ]
    Öğe
    New conservation laws of the Boussinesq and generalized Kadomtsev-Petviashvili equations via homotopy operator
    (Elsevier, 2023) Jafari, Mehdi; Mahdion, Somayesadat; Akgul, Ali; Eldin, Sayed M.
    According to the tools of linear algebra and calculus of variations, the conservation laws of Boussinesq and generalized Kadomtsev-Petviashvili (gKP) equations are investigated using multipliers and scaling methods. Using the Euler-Lagrange operator, the determining equations are calculated to find the multipliers of Boussinesq equation and the actual density of gKP equation. Then, the flux and density pairs of Boussinesq equation and the corresponding flux of gKP equation are obtained through 2-dimensional homotopy operator.
  • [ X ]
    Öğe
    Numerical analysis of magneto-radiated annular fin natural-convective heat transfer performance using advanced ternary nanofluid considering shape factors with heating source
    (Elsevier, 2023) Adnan; AlBaidani, Mashael M.; Mishra, Nidhish Kumar; Alam, Mohammad Mahtab; Eldin, Sayed M.; AL-Zahrani, Asla A.; Akgul, Ali
    Applications: The fins performance under natural convection is essential to make it more functional for large scale applications more specifically in thermal engineering. For this, it is important to introduce new techniques to enhance the fins performance instead of traditional way. Thus, this study introduces a new way to make the fin more efficient using ternary nanomaterial under nanoparticles shape factor. The annular fin significantly contributes in electronics to exhaust the hot air, injector pumps and applied thermal engineering.Purpose: and Methodology: This work focuses on the fin energy model using shape factors. Therefore, the ternary nanofluid, natural convection, thermal radiation and magnetic field used to develop the model. Then, the RKF-45 implemented to investigate physical results.Core findings: Keen analysis of the physical results reveal that the coefficient of thermal conductivity ranging from 0.0% < alpha 1 < 3.0% and natural convection have major role in the fins energy performance. Induction of magnetic field and thermal radiation Rd are reliable for the fin cooling and, heating source Q1 = 0.2,0.4,0.6,0.8 promote the fin energy capability in the existence of (Al2O3-CuO-Cu) ternary nanomaterial with concentration factor up to 2%. On the comparative basis, ternary nanomaterial makes the fin more efficient than hybrid nanomaterial.
  • [ X ]
    Öğe
    Numerical estimation of the fractional advection-dispersion equation under the modified Atangana-Baleanu-Caputo derivative
    (Elsevier, 2023) Partohaghighi, Mohammad; Mortezaee, Marzieh; Akgul, Ali; Eldin, Sayed M.
    The transport of contaminants is a crucial environmental issue, and accurate modeling of this phenomenon is vital for developing effective strategies for its management. In this study, We introduce a non-integer model of the advection-dispersion problem arising in the transport of contaminants. The used derivative is described in the modified Atangana-Baleanu-Caputo (MABC) sense which is a new definition based on an extension of the Atangana and Baleanu derivatives. We employ discrete Chebyshev polynomials to gain the numerical solution of the considered equation. First, we generate a new operational matrix through discrete Chebyshev polynomials properties and proposed derivative. Next, via discrete Chebyshev polynomials and the operational matrix, we gain an algebraic system whose solutions are easily obtained. Finally, we solve some examples and compare the results with those obtained from other numerical methods to confirm the practicality and accuracy of the suggested scheme.