M. R. Kaimal

Learn More
In this paper an improved hybrid method for removing noise from low SNR molecular images is introduced. The method provides an improvement over the one suggested by Jian Ling and Alan C. Bovik (IEEE Trans. Med. Imaging, 21(4), [2002]). The proposed model consists of two stages. The first stage consists of a fourth order PDE and the second stage is a relaxed(More)
In this paper we discuss the speckle reduction in images with the recently proposed Wavelet Embedded Anisotropic Diffusion (WEAD) and Wavelet Embedded Complex Diffusion (WECD). Both these methods are improvements over anisotropic and complex diffusion by adding wavelet based bayes shrink in its second stage. Both WEAD and WECD produces excellent results(More)
Over the past few decades, many algorithms have been continuously evolving in the area of machine learning. This is an era of big data which is generated by different applications related to various fields like medicine, the World Wide Web, E-learning networking etc. So, we are still in need for more efficient algorithms which are computationally cost(More)
The hydrodynamical problem of flow in proximal renal tubule is investigated by considering axisymmetric flow of a viscous, incompressible fluid through a long narrow tube of varying cross-section with reabsorption at the wall. Two cases for reabsorption have been studied (i) when the bulk flow, Q, decays exponentially with the axial distance x, and (ii)(More)
In this paper we present a study on how the changing values of theta in complex diffusion affects the images. Normally it is considered that the low value of theta is suitable for image smoothening using complex diffusion, because at higher values of theta the imaginary part may feed back into the real part, creating wave-like ringing effects. Our study(More)
In this paper, a shape adaptive wavelet transform coding scheme for arbitrarily shaped visual objects which is also scalable and progressive is proposed. The proposed scheme uses the shape adaptive wavelet transform (SA-DWT) of extracted objects for generating the wavelet coefficients and the wavelet difference method (SWDR) for progressive scalable coding(More)
Projected clustering is one of the clustering approaches that determine the clusters in the subspaces of high dimensional data. Although it is possible to efficiently cluster a very large data set outside a relational database, the time and effort to export and import it can be significant. In commercial RDBMSs, there is no SQL query available for any type(More)
Most of the design techniques of T-S fuzzy controllers assumes that there exists an approximate T-S model of the system with fixed antecedent parts & rules and uses techniques like GA, LMI, etc for the optimal design of the gain values. This paper presents a novel integrated approach for the design and stability analysis of T-S fuzzy controllers using(More)