Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

This study is about applications of nanofluids and various soft computing algorithms on
designs of battery thermal management systems and their potential performance …

Although civil engineering problems are often characterized by significant levels of
complexity, they are generally approached and solved by combining several practitioners' …

Materials informatics provides the foundations for a new paradigm of materials discovery. It
shifts our emphasis from one of solely searching among large volumes of data that may be …

After extensive research and development over the past three decades, a range of
techniques have been proposed and developed for online continuous measurement of …

Soft computing approaches are contributing to various areas of real-world problems. These
techniques are being used in optimization problems, feature selection, classification as well …

Designing an energy efficient routing protocol is one of the main issue of Mobile Ad-hoc
Networks (MANETs). It is challenging task to provide energy efficient routes because …

Federated Learning is a distributed, privacy-preserving machine learning model that is
gaining more attention these days. Federated Learning has a vast number of applications in …

Purpose The primary aim of this study is to detail the use of soft computing techniques in
business and management research. Its objectives are as follows: to conduct a …

The metaverse is an emerging technology with the potential to revolutionize our interactions
with digital environments. Soft computing presents exciting opportunities in shaping this …