Feature selection becomes prominent, especially in the data sets with many variables and
features. It will eliminate unimportant variables and improve the accuracy as well as the …

Environment perception is the premise for intelligent vehicles to drive safely and stably.
Despite the rapid development of road detection technology based on visual images, it is …

Abstract The Internet of Things (IoT) could be described as the pervasive and global network
which aids and provides a system for the monitoring and control of the physical world …

Energy efficiency is one of the main issues that will drive the design of fog-supported
wireless sensor networks (WSNs). Indeed, the behavior of such networks becomes very …

This paper uses big data technologies to study base stations' behaviors and activities and
their predictability in mobile cellular networks. With new technologies quickly appearing …

Wireless sensor networks can support building and transportation system automation in
numerous ways. An emerging application is to guide drivers to promptly locate vacant …

Due to the development of the computer vision, machine learning, and deep learning
technologies, the research community focuses not only on the traditional SLAM problems …

A coal mine tunnel usually has a long-strip shape. Traditional single-sink cyber-physical-
systems (CPS) cannot ensure that sensor nodes far from the entrance of a coal mine tunnel …

As a challenging task in computer vision, instance segmentation has attracted extensive
attention in recent years. Able to obtain very rich and refined object information, this …

In order to improve the intelligence of the medical system, this paper designs and
implements a secure medical big data ecosystem on top of the Hadoop big data platform. It …