With the rapid enhancement in the design and development of the Internet of Things creates
a new research interest in the adaptation in industrial domains. It is due to the impact of …

When solving constrained multi-objective optimization problems (CMOPs), the utilization of
infeasible solutions significantly affects algorithm's performance because they not only …

Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …

This paper proposes a novel Reverse Auction-based Computation Offloading and Resource
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …

Spherical search algorithm (SSA) calculates the spherical boundary and generates new
solutions on it by two sub-populations jointly. Many researches have shown that SSA is a …

Machine intelligence models are robust in classifying the datasets for data analytics and for
predicting the insights that would assist in making clinical decisions. The models would …

Human action recognition (HAR) is the foundation of human behavior comprehension. It is of
great significance and can be used in many real-world applications. From the point of view …

With technological advancement, cloud computing paradigms are gaining massive
popularity in the ever-changing technological advancement. The main objective of the cloud …

With the development of information technology, computer networks have become a part of
people's lives and work. However, computer viruses and malicious network attacks make …

Abstract Efficient Virtual Machine (VM) placement and task scheduling is considered a major
challenge in cloud computing, given that the scheduling results directly affect user …