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.
Results
Showing 1 to 20 of 536 for “"Network model"”.
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A network model for perfusion chromatography
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1995.
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Mesh network model for urban area
… the application of new technology, wireless mesh networks. A wireless mesh network can provide improved security, public safety, new economic opportunities, and a bridge that crosses the digital divide. Married to the appropriate applications, a wireless mesh network creates a business model that …
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A neural network model for resource leveling
A new neural network model aimed at solving the resource leveling (RL) problem in construction is developed. The model is derived by mapping a formulation of the RL problem as a quadratic augmented Lagrangian multiplier (QALM) optimization, onto an artificial neural network (ANN) architecture …
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A knowledge-network model of scientific communities
The amount of information organizations possess now days is overwhelming and the need of being capable of extracting valuable knowledge from such large amount of information is imperative. This thesis presents a software tool capable of extracting valuable knowledge (e.g. expertise) of a scientific …
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A Bayesian Network Model of Political Belief Polarisation
In this thesis I explore a rational model of the emergence of mass disagreement about political issues within societies. The model supposes a recursive process whereby people attribute bias to information sources who promulgate views they disagree with, and then down-weight future information …
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Foundations for a Network Model of Destination Value Creation
Previous research has demonstrated that a network model of destination value creation (i.e. the Destination Value System model) based on the flows of travelers within a destination can be used to estimate and predict individual attractions’ marginal contributions to total visitor expenditures. …
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Adaptive secure network model for dynamic wireless mesh network
… an advanced civilization rely on communication networks for a lot of important tasks. They are used to share information between vital systems, provide us with our pin-point location, access various digital resources and to stay connected with each other. Due to its necessity and enormity, …
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Inhibition stabilized network model in the primary visual cortex
In this paper, we studied neural networks of both excitatory and inhibitory populations with inhibition stabilized network (ISN) models. In ISN models, the recurrent excitatory connections are so strong that the excitatory sub-network is unstable if the inhibitory firing rate is fixed; however, the …
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Analyzing monotone space complexity via the switching network model
… for analyzing monotone space complexity via a model called the monotone switching network model. Using these techniques, we prove tight bounds on the minimal size of monotone switching networks solving the directed connectivity, generation, and k-clique problems. These results separate monotone …
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A network model of the human aqueous outflow system
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1988.
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Predicting Flow in Firebrand Pile using Pore Network Model
… and flow profile within the firebrand pile. Modeling the firebrand pile as a fibrous porous medium, this study identified a porosity-permeability correlation that accurately describes the transport properties of a firebrand pile. The conduction-based model and Kozeny-Carman model were …
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A Large Scale Network Model to Obtain Interwell Formation Characteristics
… flow values to develop a reservoir-scale network model. A Voronoi mesh divides the reservoir into a number of node volumes each of which contains a well. Bonds connect each of the nodes with conductance values that must be inferred from the rate data. An inverse problem is formulated where …
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Measuring congestion and emissions : a network model for Mexico City
… the level of congestion in Mexico City, a network model was built. Combining data from a 1994 origin destination survey and the 2000 census with a digitized roadway network, we were able to determine the state of vehicle speeds on roadways throughout the city. This speed distribution was …
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Multiclass intermodal network model : the use of combined model on system evaluations
… are focused on one mode rather than a whole network. In practice, the data necessary for evaluations are mostly from surveys or on-site data collection, which require a huge amount of time and cost. This study builds a combined intermodal network model and evaluation system specifically for …
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Evidential Deep Learning for uncertainty quantification in jet tagging deep neural network model
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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An artificial neural network model for predicting freeway work zone delays with big data
… developed. Therefore, the development of a sound model for predicting delays or road users is desirable. A comprehensive literature review on existing work zone delay prediction models (i.e., deterministic queuing model and shock wave model) is conducted in this study, which explores the …
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