A review of wavelet analysis and its applications: Challenges and opportunities
As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly develo**. This article reviews the development history of wavelet theory, from …
constantly develo**. This article reviews the development history of wavelet theory, from …
Anomaly detection using deep neural network for IoT architecture
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …
popularity over the last decade, resulting in an exponential growth in the IoT networks …
Analyzing RNA-seq gene expression data using deep learning approaches for cancer classification
Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights
into differentially expressed genes. However, it is challenging because of its high …
into differentially expressed genes. However, it is challenging because of its high …
Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model
The aim of this study is to design a singular fractional order pantograph differential model by
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
Applications of artificial neural network to solve the nonlinear COVID-19 mathematical model based on the dynamics of SIQ
The purpose of this research work is to present a numerical study through artificial neural
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …
Mathematical analysis of bio-nanofluid flow over a nonlinear tapering artery with stenosis conditions using cross fluid viscosity model
Non-Newtonian bio-nanofluid flow in tapered arteries is highly helpful in prosthetic blood
vessel design, since using grafts with tapered lumen offers advantages in surgery and many …
vessel design, since using grafts with tapered lumen offers advantages in surgery and many …
Cancer classification using RNA sequencing gene expression data based on Game Shapley local search embedded binary social ski-driver optimization algorithms
Cancer remains a significant health concern due to its high mortality rates. Recent decades
have witnessed substantial progress in cancer research, driven by advancements in high …
have witnessed substantial progress in cancer research, driven by advancements in high …
An efficient new numerical algorithm for solving Emden–Fowler pantograph differential equation using Laguerre polynomials
This paper proposes a new approach using the collocation technique for the numerical
solution of a class of second-order Emden–Fowler pantograph differential equations. In the …
solution of a class of second-order Emden–Fowler pantograph differential equations. In the …
Applications of Gudermannian neural network for solving the SITR fractal system
This study is related to explore the Gudermannian neural network (GNN) for solving a
nonlinear SITR COVID-19 fractal system by using the optimization efficiencies of a genetic …
nonlinear SITR COVID-19 fractal system by using the optimization efficiencies of a genetic …
An advanced computing scheme for the numerical investigations of an infection-based fractional-order nonlinear prey-predator system
The purpose of this study is to present the numerical investigations of an infection-based
fractional-order nonlinear prey-predator system (FONPPS) using the stochastic procedures …
fractional-order nonlinear prey-predator system (FONPPS) using the stochastic procedures …