Since the past decades, most of the nature inspired optimization algorithms (NIOA) have
been developed and become admired due to their effectiveness for resolving a variety of …

The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …

This chapter analytically compares the efficiency of the recent plant biology-inspired genetic
algorithm (PBGA) and the firefly algorithm (FA) optimizer. The comparison is over a range of …

Breast cancer is a leading killer disease among women of the new era. As per the
GLOBOCAN project, the breast cancer incidences showed an increase from 22.2 to 27 …

Convolutional neural network (CNN) is a basic configuration of neural networks that can
perform deep learning. There are many applications based on CNN in fields of image …

A feature-weighted neural network model for the prediction of the endpoint temperature of
molten steel (MSET) in a ladle furnace (LF) is proposed in this paper. Accurate prediction of …

This book discusses in-depth role of optimization to optimize the controller parameters with
reference to bio-inspired algorithms. Comparative studies to evaluate the performance of …

Economic profit is the main governing power of any industrial and socio-economic growth. It
is imperative to maximize profit related with economic systems to retain economic stability …

Multimedia conventional computing techniques depend mainly on the features that are
extracted and captured from multimedia content, including text, audio, image, and video data …

Image registration has an imperative role in medical imaging. In this work, a grey-wolf
optimizer (GWO)-based non-rigid demons registration is proposed to support the retinal …