M
Muhammad Kashif Iqbal
Researcher at Government College University, Faisalabad
Publications - 29
Citations - 460
Muhammad Kashif Iqbal is an academic researcher from Government College University, Faisalabad. The author has contributed to research in topics: B-spline & Discretization. The author has an hindex of 12, co-authored 24 publications receiving 276 citations. Previous affiliations of Muhammad Kashif Iqbal include National College of Business Administration and Economics & Government College University.
Papers
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New cubic B-spline approximation for solving third order Emden–Flower type equations
TL;DR: It is found that the new approximation technique performs superior to the existing methods due to its simple implementation, straight forward interpolation and very less computational cost.
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A Novel Discriminating and Relative Global Spatial Image Representation with Applications in CBIR
Bushra Zafar,Rehan Ashraf,Nouman Ali,Muhammad Kashif Iqbal,Muhammad Sajid,Saadat Hanif Dar,Naeem Iqbal Ratyal +6 more
TL;DR: A novel approach to encoding the relative spatial information for histogram-based representation of the BoVW model is introduced by computing the global geometric relationship between pairs of identical visual words with respect to the centroid of an image.
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A computational approach for solving time fractional differential equation via spline functions
TL;DR: In this paper, a computational approach based on finite difference scheme and a redefined extended B-spline functions is presented to study the approximate solution of time fractional advection diffusion equation.
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A Hybrid Geometric Spatial Image Representation for scene classification
Nouman Ali,Bushra Zafar,Faisal Riaz,Saadat Hanif Dar,Naeem Iqbal Ratyal,Khalid Bashir Bajwa,Muhammad Kashif Iqbal,Muhammad Sajid +7 more
TL;DR: A Hybrid Geometric Spatial Image Representation (HGSIR) is explored that is based on the combination of histograms computed over the rectangular, triangular and circular regions of the image that outperforms the state-of-art research in terms of classification accuracy.
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Non-polynomial quintic spline for solving fourth-order fractional boundary value problems involving product terms
TL;DR: The proposed numerical approach is based on non-polynomial quintic spline functions comprised of a trigonometric part and polynomial part and is found to be more accurate as compared to the other variants on the topic.