Community detection in social networks has received much attention from the researchers of
multiple disciplines due to its impactful applications such as recommendation systems, link …

Undoubtedly, the recent implacable, widespread, and intricate cyber-attacks demand
cognitive cyber-defense techniques. Although machine learning (ML) and artificial intel …

In this paper, a cooperative Q-learning approach is proposed to enable the agents in large
networks to synchronize to the behavior of an unknown leader by each optimizing a …

This tutorial paper will discuss the development of novel state-of-the-art control approaches
and theory for complex systems based on machine intelligence in order to enable full …

Facial expression recognition (FER) is an important part of emotional computing that can be
useful in many applications for people's behavior analysis. Recently, some methods have …

Sensor-cloud computing is envisioned as a promising technology that can integrate various
services by extending the computational capabilities of physical sensor nodes. It is prone to …

Abstract We consider Heterogeneous Wireless Sensor Networks (HWSNs) with malware
diffusion and find a solution to assess their dependability in order to guarantee dependable …

Wireless sensor networks (WSNs) are vulnerable to many security threats because of the
open and unreliable communication channels, the highly dynamic network structure as well …

Moving target defense (MTD) is a proactive defense approach that aims to thwart attacks by
continuously changing the attack surface of a system (eg, changing host or network …

In the field of technology management, methods have been developed to detect
technologies that are important in industry by analyzing massive numbers of documents …