Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …

Internet of Things (IoT) is the fastest growing technology that has applications in various
domains such as healthcare, transportation. It interconnects trillions of smart devices through …

Following type-1 fractional fuzzy inference systems presented recently as the new
generation of fuzzy inference systems, interval type-2 fractional fuzzy inference systems …

In this communication, we propose to use a deep learning (DL) approach to detect unit
failure in array antennas. Due to natural machine life cycle and/or unexpected accidents …

In recent times, many investigators have delved into plastic waste (PW) research, both
locally and internationally. Many of these studies have focused on problems related to land …

A soft computing methodology, PreFuRGe (Predictive Fuzzy Rules Generator), was applied
to study atmospheric radon in relation to other meteorological variables. This algorithm is …

Predicting the compressive strength of concrete is a complicated process due to the
heterogeneous mixture of concrete and high variable materials. Researchers have predicted …

Subsurface electromagnetic sensing techniques that can measure material properties of
hidden layers are useful for applications such as security screening. A system combining …

This paper presents the comparison of various neural networks and algorithms based on
accuracy, quickness, and consistency for antenna modeling. Using MATLAB's Nntool, 22 …

This paper presents a multidisciplinary, multi-objective optimization approach towards low
Radar Cross section (RCS) aerodynamic design of aerospace structures. As a typical …