The aim of this study is to design a layer structure of feed-forward artificial neural networks
using the Morlet wavelet activation function for solving a class of pantograph differential …

The utmost advancements of artificial neural networks (ANNs), software-defined networks
(SDNs) and internet of things (IoT) technologies find beneficial in different applications of the …

In this paper, weighted differential evolution (WDE)-based evolutionary heuristic computing
is presented for parameter estimation of nonlinear dynamics of the electrically stimulated …

This paper portrays the exploitation/exploration of artificial intelligence (AI) inspired
computing to study the behavior of the multi-delay differential systems that revealed the …

In this study, a fuzzy-evolution computing paradigm is presented for parameter estimation of
fractional Hammerstein control autoregressive (F-HCAR) systems by exploiting the knacks of …

The problem of poor real-time capability, a large number of traversals and the long operation
time of the MUSIC algorithm bring great difficulties to the application of DOA estimation. For …

This article introduces an iterative technique aimed at jointly estimating target location and
sound propagation speed in a 3-D underwater environment characterized by an isogradient …

Minimum redundancy array (MRA) has the maximum aperture with continuous difference co-
array among various sparse arrays with same number of physical sensors, but it is hard to …

For the purpose of attaining a high degree of freedom (DOF) for the direction of arrival (DOA)
estimations in radar technology, coprime sensor arrays (CSAs) are evaluated in this paper …

Pulse noise (such as glacier fracturing and offshore pile driving), commonly seen in the
marine environment, seriously affects the performance of Direction-of-Arrival (DOA) …