In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …

Artificial Intelligence (AI) is a machine intelligence tool providing enormous possibilities for
smart industrial revolution. Internet of Things (IoT) is the axiom of industry 4.0 revolution …

The design of stabilizing controller for uncertain nonlinear systems with control constraints is
a challenging problem. The constrained-input coupled with the inability to identify accurately …

Facial Expression Recognition (FER), as the primary processing method for non-verbal
intentions, is an important and promising field of computer vision and artificial intelligence …

As an important application scenario of 5G, the vehicular network has a huge amount of
computing data, which brings challenges to the scarce network resources. Mobile edge …

Reduction in system inertia and maintaining the frequency at the nominal value is a staple of
today's and future power systems since their operation, stability, and resiliency are degraded …

In an online social network (like Twitter), a botmaster (ie, leader among a group of social
bots) establishes a social relationship among legitimate participants to reduce the …

A microgrid with virtual inertia using master-slave control is proposed in this article to
overcome the drawbacks of traditional inverter-based distributed generators for lack of …

This paper proposes a hybrid approach to face recognition based on a combination of
probabilistic neural networks (PNNs) and improved kernel linear discriminant analysis …

Probabilistic neural networks (PNNs) are artificial neural network algorithms widely used in
pattern recognition and classification problems. In the traditional PNN algorithm, the …