In the field of traffic-information acquisition, one pervasive solution is to use wireless sensor
networks (WSNs) to realize vehicle classification and counting. By adopting heterogeneous …

Computer Vision is gaining importance with wide applications in video surveillance, video
retrieval and analysis, and human-computer interaction. Detection and recognition of human …

Content-Centric Networking (CCN) is a newly proposed networking architecture for the
future Internet. It has superiorities over today's IP-based architecture in some aspects. On the …

Most surveillance applications in wireless sensor network (WSN) have stringent accuracy
requirements in targets surveillance with maximized system lifetime, while large amount of …

Abstract In recent years Machine Learning and Artificial Intelligence are reshaping the
landscape of e-commerce and retail. Using advanced analytics, behavioral modeling, and …

One of the most important applications in the wireless sensor networks (WSN) is to classify
mobile targets in the monitoring area. In this paper, a neural network (NN)-based weighted …

Wireless sensor networks for obstacle detection, environment monitoring, and military
surveillance have stringent accuracy requirements for target monitoring and demand long …

The complete binary tree as an important network structure has long been investigated for
parallel and distributed computing, which has many nice properties and used to be …

This paper presents a development of classification Deep Learning (DL)-based model for
simulated vehicles intruding a sensor network. The study proposes a DL architecture that is …

Multi-tier topology model is an appropriate choice to accomplish the application-specific
tasks in many wireless visual sensor networks. In a general multi-tier architecture, the first …