This paper presents an extensive study of a new metaheuristics algorithm called Smell
Agent Optimization (SAO) on some CEC numerical optimization benchmark functions and …

Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …

Abstract Wireless Sensor Networks plays an outstanding role in providing dynamic cluster
head (CH) selection. However, the selection of CH is a major challenge due to erroneous …

The concept of workflows was implemented to mitigate the complexities involved in tasks
related to scientific computing and business analytics. With time, they have found …

In the global epidemic, distance learning occupies an increasingly important place in
teaching and learning because of its great potential. This paper proposes a web-based app …

In recent years, huge volumes of healthcare data are getting generated in various forms. The
advancements made in medical imaging are tremendous owing to which biomedical image …

Nature-inspired metaheuristic algorithms are important components of artificial intelligence,
and are increasingly used across disciplines to tackle various types of challenging …

A hybrid machine learning method is proposed for wildfire susceptibility mapping. For
modeling a geographical information system (GIS) database including 11 influencing factors …

This paper introduces an approach for the VM migration based on optimization algorithm,
named CS in cloud. The provider to be selected is carried out with the usage of multiple …

Abstract Changes in human lifestyles have led to a dramatic increase in the incidence of
Crohn's disease worldwide. Predicting the activity and remission of Crohn's disease has …