Traditional TCP/IP networks provide a best effort delivery service which places the complexity of congestion control in the end hosts, leaving the network relatively simple. It is well-known that the performance of the TCP ...

An increasing amount of data is provided by information services: Programs

Understanding the dynamics of the in vivo brain under normal and diseased states is one of the great challenges of modern scientific study. The overall complexity and dimension of the brain though can make this problem ...

Supervised classification is a sub-task of machine learning where the goal is to infer a classification function using labeled data. A vast amount of research has been conducted in this area addressing various classification ...

A wireless sensor network consists of a large number of resource-constrained sensor nodes that are self-organized into a multi-hop network and cooperate on a single task. In many situations, sensor networks need to run ...

This thesis develops a representation and system of operations for articulated limb movement which can be used to describe both specific and general movements. A movement primitive in the representation can be described ...

This dissertation addresses two separate problems related to transportation networks. In the first part, route choice behavior revealed from real world trips is studied. In part two, efficient pruning of large transportation ...

Localization of a wireless device or a sensor node has been a problem of great importance in recent years. Location services are becoming an essential part of the traditional wireless networks as well as the wireless ...

Many adequate methods exist for conversion of transfer functions in the continuous domain to discrete equivalents with preservation of magni- tude. Frequency response in the true sense however is composed of both magnitude ...

The research objective of the dissertation is to develop methods to address the curse of dimensionality in the field of approximate dynamic programming, to enhance the scalability of these methods to large-scale ...