Recent technological breakthroughs and significant expansion in the number of Internet-of-
Things (IoT) devices, a new paradigm of unparalleled user experiences, dramatically …

Abstract The Swarm Intelligence (SI) algorithms have been useful in solving multifaceted
optimization problems. SI Algorithms as the name suggests work on the simulation principle …

A city is considered to be smart when the application of Artificial Intelligence (AI) and the
Internet of Things (IoT) is integrated with it. This enables the collection of data from people …

The reliability, availability, security, and survivability analysis of any IoT (Internet-of-things)
device is important because it provides all necessary information about the IoT device …

Employee Turnover is one of the key market challenges in Human Resource (HR) Analytics.
Organizations usually invest a greater amount of money and time in the hiring of staff and …

This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic
optimization algorithm based on human behavior: Catch Fish Optimization Algorithm …

Wireless sensor networks (WSNs) have developed during the past twenty years as a result
of the accessibility of inexpensive, short-range, and simple-to-deploy sensors. A WSN …

Abstract Ant Colony Optimization (ACO) encompasses a family of metaheuristics inspired by
the foraging behaviour of ants. Since the introduction of the first ACO algorithm, called Ant …

The anomalies detection on attached IoT devices on cattle in Smart Cities Areas using deep
learning that help administrator to identify the unauthorized accessing of attached IoT device …

This paper provides a novel meta-heuristic optimization algorithm for solving continuous
optimization problems efficiently in the field of numerical and engineering optimization …