فهرست مقالات Hamid Yazdani


  • مقاله

    1 - Apply New Optimized MRA & Invariant Solutions on the Generalized-FKPP Equation
    International Journal of Mathematical Modeling & Computations , شماره 5 , سال 11 , پاییز 2021
    So far, the numerous methods for solving and analyzing differential equations are proposed. Meanwhile; the combined methods are beneficial; one of them is the Optimized MRA method (OMRA). This method is based on the Father wavelets (dependent on the invariant solutions چکیده کامل
    So far, the numerous methods for solving and analyzing differential equations are proposed. Meanwhile; the combined methods are beneficial; one of them is the Optimized MRA method (OMRA). This method is based on the Father wavelets (dependent on the invariant solutions obtained by the Lie symmetry method) and correspondent MRA. In this paper, we apply the OMRA on the generalized version of FKPP equation (GFKPP) with function coefficientfutt(x,t) + ut(x,t) = uxx(x,t) + u(x,t) - u2(x,t),where f is a smooth function of either x or t.We will see that by the suitable Father wavelets, this method proposes attractive approximate solutions. پرونده مقاله

  • مقاله

    2 - An Introduction to the Application of Tensorial Manifold Learning Methods in the Digital Image Processing and Computer Vision
    International Journal of Mathematical Modeling & Computations , شماره 1 , سال 12 , زمستان 2022
    Tensors as vector fields structures and manifolds as great geometrical-topological structures have many applications in the fields of big data analysis. Types of norms, metrics and scalable structures have been defined from various aspects. Nowadays, the hybrid methods چکیده کامل
    Tensors as vector fields structures and manifolds as great geometrical-topological structures have many applications in the fields of big data analysis. Types of norms, metrics and scalable structures have been defined from various aspects. Nowadays, the hybrid methods between tensorial algorithms and manifold learning (MaL) methods have been attracted some attention. In image and signal processing, from image recovery to face recognition, these methods have appeared very excellent. According to our experiments by MATLAB R2021a, the hybrid algorithms are powerful other than algorithms based on the efficient popular parameters. پرونده مقاله