Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 16995 for “"networks"”.
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Sensor networks for social networks
… of software that makes use of Bayesian belief networks and signal processing techniques to make meaningful inferences about real-world phenomena using data obtained from sensor networks. The effectiveness of the software is validated by applying it to the problem of detecting face-to-face …
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Networks for motion and motion for networks
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
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Cognitive Networks
For complex computer networks with many tunable parameters and network performance objectives, the task of selecting the ideal network operating state is difficult. To improve the performance of these kinds of networks, this research proposes the idea of the cognitive network. A cognitive network …
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Using vehicular networks for building distributed networks of services
… compared to the small devices that mobile networks are generally identified with, which can generate data at rates that push the limits of the cellular infrastructure. These resource rich platforms also have the potential to enable city-wide distributed networks of services. Since most …
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EXPLORING MULTIPLEX NETWORKS
… of the natural systems that surround us. Social networks, genetic and protein interaction networks, airline and road traffic networks, brain connectivity networks and web graphs are only some of the examples. As network theory evolves it becomes more apparent that these complex systems are often …
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Fuzzy neural networks
… neurons are modeled with artificial neural networks (ANNs or NNs). Neural networks, mathematically speaking, are a system of linked parallel equations that are solved simultaneously and iteratively. Initial research can be found in papers by McCulloch-Pitts (1943), Hebb (1949), Rosenblatt …
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Homeostatic adaptive networks
… adaptive systems. We study homeostatic adaptive networks by looking at specific examples of homeo-static systems: the Homeostat, homeostatic plasticity in neural networks, and homeostatic regulation of the environment by the biota. Investigation of these cases studies forms the basis for the …
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Applied Bayesian Networks
<p>A Bayesian Network is a stochastic graphical model that can be used to maintain and propagate conditional probability tables among its nodes. Here, we use a Bayesian Network to model results from a numerical riverine model. We develop an discretization optimization algorithm that improves …
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Deterministic SpaceWire Networks
SpaceWire-D is an extension to the SpaceWire protocol that adds deterministic capabilities over existing equipment. It does this by using time-division multiplexing, controlled by the sequential broadcasting of time-codes by a network manager. A virtual bus abstraction is then used to divide the …
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Implicit Affinity Networks
… unique opportunities to discover new social networks, strengthen ties among individuals, and provide recommendations. We propose the idea of Implicit Affinity Networks (IANs) to build, visualize, and track affinities among groups of individuals. IANs are simple, interactive graphical …
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Strategic innovation networks
… management of technology (SMOT) and innovation networks. The aim is to integrate these two areas of the management of innovation literature to develop a framework which I describe as the Strategic Innovation Network (SIN). The key proposition that the revised framework (SIN) aims to address is …
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Dynamics on networks
… generalize the single-network case into complex networks to account for real-world problems. In particular, we study a node-aligned multilayer Kuramoto model that encapsulates multiple channels of connectivity among oscillators. Our primary goal is to understand how inter-layer connections affect …
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Inverted theory networks
… this represents the quantum of knowledge. Theory networks encapsulating a set of logicatoms and the dynamic relations between them, are defined. It is shown that these structures call emulate cellular automaton systems and in particular, simulate universal Turing machines. The regulating priuciple …
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Neural bus networks
… passengers. Research attempts to model traffic networks use historical, statistical and learning based models, with learning based models achieving the best results. This research compares several neural network architectures trained on historical data from Boston buses. Three models are …
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Networks or lemons?
Past research has argued that hiring personnel use employment as a signal of worker quality. If firms tend to keep high ability workers, then those who are not employed will tend to be "lemons," labor market leftovers who are of uncertain quality. To the extent that employers rely on employment as …
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Resilient overlay networks
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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