How can the advantages of deep learning be brought to the emerging world of embedded
IoT devices? The authors discuss several core challenges in embedded and mobile deep …

In recent years, the Internet of Things (IoT) has promoted many battery-powered emerging
applications, such as smart home, environmental monitoring, and human healthcare …

Fog computing is an emerging architectural paradigm for the implementation of the Internet
of Things, where computation moves from cloud servers to network edges. Fog computing …

The paper presents a real-time computing framework for intelligent real-time edge services,
on behalf of local embedded devices that are themselves unable to support extensive …

This study investigates the association between anticipated ethnic discrimination and self-
reported psychological health, taking generalized trust in other people into consideration …

Power consumption in data centers has been growing significantly in recent years. To
reduce power, servers are beingequipped with increasingly sophisticated power …

Efficient data dissemination is one of the fundamental requirements to enable emerging
applications in vehicular cyber-physical systems. In this paper, we present the first study on …

Data perturbation is one of the popular data mining techniques for privacy preserving. A
major issue in data perturbation is that how to balance the two conflicting factors–protection …

This paper presents a hand-gesture based interface for facilitating communication among
speech-and hearing-impaired disabilities. In the system, a wireless sensor glove equipped …

Internet of Things devices, such as video-based detectors or road side units are being
deployed in emerging applications like sustainable and intelligent transportation systems …