Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.

Browsing by Author "Wahab, Hafiz Abdul"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Citation Count: Ullah, Basharat...et al. (2021). "Comparative Thermal Performance in SiO2-H2O and (MoS2-SiO2)-H2O Over a Curved Stretching Semi-Infinite Region: A Numerical Investigation", CMC-Computers Materials & Continua, Vol. 66, no. 1, pp. 947-960.
    Comparative Thermal Performance in SiO2-H2O and (MoS2-SiO2)-H2O Over a Curved Stretching Semi-Infinite Region: A Numerical Investigation
    (2021) Ullah, Basharat; Khan, Umar; Wahab, Hafiz Abdul; Khan, Ilyas; Baleanu, Dumitru; Nisar, Kottakkaran Sooppy; 56389
    The investigation of Thermal performance in nanofluids and hybrid nanofluids over a curved stretching infinite region strengthens its roots in engineering and industry. Therefore, the comparative thermal analysis in SiO2-H2O and (MoS2-SiO2)-H2O is conducted over curved stretching surface. The model is reduced in the dimensional version via similarity transformation and then treated numerically. The velocity and thermal behavior for both the fluids is decorated against the preeminent parameters. From the analysis, it is examined that the motion of under consideration fluids declines against Fr and lambda. The thermal performance enhances for higher volumetric fraction and lambda. Further, it is noticed that thermal performance prevailed in (MoS2-SiO2)-H2O throughout the analysis. Therefore, (MoS2-SiO2)-H2O is better for industrial and engineering uses where high heat transfer is required to accomplished different processes of production.
  • Thumbnail Image
    Article
    Citation Count: Umar, Muhammad...et al. (2019). "Unsupervised constrained neural network modeling of boundary value corneal model for eye surgery", Applied Soft Computing, Vol. 85.
    Unsupervised constrained neural network modeling of boundary value corneal model for eye surgery
    (2019) Umar, Muhammad; Amin, Fazli; Wahab, Hafiz Abdul; Baleanu, Dumitru; 56389
    In this article, a numerical computing technique is developed for solving the nonlinear second order corneal shape model (CSM) using feed-forward artificial neural networks, optimized with particle swarm optimization (PSO) and active-set algorithms (ASA). The design parameter is approved initially with PSO known as global search, while for further prompt local refinements ASA is used. The performance of the design structure is scrutinized by solving a number of variants of CSM. The typical Adams numerical results are used for comparison of the proposed results, which establish the worth of the scheme in terms of convergence and accuracy. For more satisfaction, the present results are also compared with radial basis function (RBF) results. Moreover, statistical analysis based on mean absolute deviation, Theil's inequality coefficient and Nash Sutcliffe efficiency is presented (C) 2019 Published by Elsevier B.V.