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Controlling a dynamic network is interesting and important in practical applications, which is to drive the network from any initial state to any desired state. Much research has been conducted in rev...
We study how multi-hop information impacts convergence in social influence networks. In influence networks, nodes have a choice between two op-tions A and B, and each node prefers to end up choosing t...
In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do s...
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant features using feature ...
Today many large scale sensor networks have emerged, which span many different sensing applications. Each of these sensor networks often consists of millions of sensors collecting data and supports th...
A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains. The structure of this model...
Assessing a network's vulnerability to attack and random failure is a difficult and important problem that changes with network application and representation. We furnish algorithms that bound the rob...
The goal of this thesis is to architect robust protocols that overcome disruptions and enable applications in diverse mobile networks. Mobile users operate in diverse environments, starting from mostl...
Over the past few years Information-Centric Networking, a networking architecture in which host-to-content communication protocols are introduced, has been gaining much attention. A central component ...
The temporal and spatial variation in wireless channel conditions, node mobility make it challenging to design protocols for wireless networks. In this thesis, we design efficient routing and scheduli...
In this thesis, we consider instances of component failure in the Internet and in networked cyber-physical systems, such as the communication network used by the modern electric power grid (termed the...
Inthe very near future time will be, if not already, one of the mosttreasured elements. In a complex world which presents us with aplethora of choices at every turn, anything that saves time and reduc...
A considerable amount of energy is consumed during transmission and reception of messages in a wireless mesh network (WMN). Reducing per-node transmission power would greatly increase the network l...
In this paper, a possibilistic network implementation for uncertain knowledge modeling of the diagnostic process is proposed as a means to achieve student diagnosis in intelligent tutoring system. Thi...

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