Wireless Sensor Networks (WSNs) are widely used in numerous critical applications, and require the network to have a prolonged lifetime and high tolerance to failures. However, the battery-operated sensor nodes used in WSNs cause the network to be resource-constrained. On the one hand, there is...

This article describes how a realistic prediction of the exon regions in deoxyribonucleic acid (DNA) is a key task in the field of genomics. Learning of the protein coding regions is a key aspect of disease identification and designing drugs. These sections of DNA are known as exons, that show...

In this paper, we focus on attacks based on sniffing like MitM, and how to counter them from the network layer perspective. We've already developed an algorithm called pathfinder that allows us to forward segments from same packets via different paths. Doing so, we'll ensure that an attacker...

Recent attacks against critical infrastructures have shown that it is possible to take down an entire infrastructure by targeting only a few of its components. To prevent or minimize the effects of this kind of attacks, it is necessary to identify these critical components whose disruption,...

Alzheimer's disease (AD) is a progressive brain disorder which has a long preclinical phase. The beta-amyloid plaques and tangles in the brain are considered as the main pathological causes. Functional connectivity is typically examined in capturing brain network dynamics in AD. A definitive...

Public streams of geo-located social media information have provided researchers with a rich source of information from which to draw patterns of urban-scale human-mobility. However, most of the literature relies on assumptions over the spatial distribution of this data (e.g., by considering...

Social science research is concerned with the study of processes and phenomena in human societies, institutions and organizations. Social phenomena are complex due to many non-linear interactions between their elements. Social simulation represents a new paradigm for understanding social...