Noise is a definite degeneration of medical images that interferes with the diagnostic
process in clinical medicine. Although many denoising algorithms have been developed to …

Teaching-Learning-based Optimization is an optimization technique which does not require
any algorithm-specific parameters and is popular for its less computational cost and high …

Background: Various kind of medical imaging modalities are available for providing
noninvasive view and for analyzing any pathological symptoms of human beings. Different …

The allocation and scheduling of the emergency rescue forces is a fundamental task in
emergency management. This paper aims to address the allocation and scheduling problem …

Abstract Design, tuning and implementation of various control structures, such as one-
degree of freedom (DOF) and two-DOF structures of both integer-order and fractional-order …

Abstract Symbiotic Organisms Search (SOS) algorithm is characterized based on the
framework of relationships among the ecosystem species. Nevertheless, it is suffering from …

In this paper, the teaching–learning-based optimization-based functional link artificial neural
network (FLANN) has been proposed for the real-time identification of Maglev system. This …

Multiplicative speckle is a dominant type of noise that spoils the inherent features of the
medical ultrasound (US) images. Apart from the speckle, impulse and Gaussian noises also …

Background: The Gaussian and impulse noises corrupt the Computed Tomography (CT)
images either individually or collectively, and the conventional fixed filters do not have the …

Aims & Objectives: The fast depletion of fossil fuels and the growing awareness of
environmental protection have become a concerning topic. Because of this fact, the …