Attribute selection plays a vital role in optimization and machine learning that involves huge
datasets. Classification accuracy of any learning model depends on the dimensionality of …

This paper presents an efficient architecture for various image filtering algorithms and tumor
characterization using Xilinx System Generator (XSG). This architecture offers an alternative …

Medical image segmentation is the most essential and crucial process in order to facilitate
the characterization and visualization of the structure of interest in medical images. Relevant …

In this paper, two miniaturized antennas of two different dimensions has been designed and
analyzed for continuous monitoring of Blood Glucose Levels (BGL). The performance of …

This paper presents an architecture for implementing the 2-D discrete wavelet transform of
an image using Xilinx System Generator (XSG). The synthesis tool used is Xilinx ISE 14.7 (…

This study determines how 3D gray level co-occurrence statistical texture measures
magnetic resonance (MR) images toprovide a better discrimination and classification of non-tumor/…

This paper makes an comparison between two architectures existing and modified for various
image processing algorithms like image negative, image enhancement, contrast stretching…

DNA Microarray data analysis has emerged as a prominent tool for identifying and classifying
the normal and abnormal genes related to cancer. The microarray data is comprised of …

During the design phase of a modular multilevel converter (MMC), an accurate loss evaluation
of the submodule (SM) plays an important role. In this paper, a method based on the …