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 …
[HTML][HTML] A neural network computational procedure for the novel designed singular fifth order nonlinear system of multi-pantograph differential equations
The current investigations present the numerical solutions of the novel singular nonlinear
fifth-order (SNFO) system of multi-pantograph differential model (SMPDM), ie, SNFO …
fifth-order (SNFO) system of multi-pantograph differential model (SMPDM), ie, SNFO …
Constructing domain ontology for Alzheimer disease using deep learning based approach
Facts can be exchanged in multiple fields with the help of disease-specific ontologies. A
range of diverse values can be produced by mining ontological approaches for …
range of diverse values can be produced by mining ontological approaches for …
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 …
An improved particle swarm optimization algorithm for data classification
Optimisation-based methods are enormously used in the field of data classification. Particle
Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely …
Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely …
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 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 …
A computational framework to solve the nonlinear dengue fever SIR system
This study is relevant to present the numerical form of the nonlinear dengue fever SIR
system are presented using the artificial neural networks along with the Levenberg …
system are presented using the artificial neural networks along with the Levenberg …
Applications of neural networks for the novel designed of nonlinear fractional seventh order singular system
The purpose of this work is to design a novel nonlinear fractional seventh kind of singular
(NSKS) Emden–Fowler model (EFM), ie, NSKS-EFM together with its six categories. The …
(NSKS) Emden–Fowler model (EFM), ie, NSKS-EFM together with its six categories. The …