The trend of develo** fractional gradient based iterative adaptive strategies is evolved in
the recent years through effectively exploring the fractional and fractal dynamics. In this …

In this study, a novel investigation in develo** intelligent adaptive Bayesian networks
(IABN) is carried out to solve the fractional order Parkinson's disease model (FOPDM) …

The present study is to investigate the Gudermannian neural networks (GNNs) using the
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …

A new avenue of fractional calculus applications has emerged that investigates the design of
fractional gradient based novel iterative methods for analyzing fractals and nonlinear …

The distributed generation (DG) integration into the power system is growing rapidly.
Therefore, the power system experiencing low inertia and dam** because DG possesses …

The presented study deals with the exploitation of the artificial intelligence knacks-based
stochastic paradigm for the numerical treatment of the nonlinear delay differential system for …

As an industrial infrastructure, the safety and reliability of the Cyber-Physical System
requires the effective anomaly detection. However, the existing detection methods have …

This present research article investigates the exact analytical solution for the mathematical
model of the generalized Casson fluid flow by using the new fractional operator with …

Supervisory control and data acquisition (SCADA) systems are widely used in the national
infrastructure. As more and more SCADA systems have been connected to the Internet …

Recently, a quasi-fractional order gradient descent (QFGD) algorithm was proposed and
successfully applied to solve system identification problem. The QFGD suffers from the …