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 97 for “"network modeling"”.
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Bilayer Network Modeling
This dissertation presents the development of a modeling scheme that is developed to model the membrane potentials and ion currents through a bilayer network system. The modeling platform builds off of work performed by Hodgkin and Huxley in modeling cell membrane potentials and ion currents with …
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CONTAINER TRANSPORTATION NETWORK MODELING AND OPTIMIZATION
… ship route schedule design, and liner shipping network design. These decision problems focus on different aspects of liner shipping services with different inputs and outputs. However, their common objective is to minimize the total cost, or, to maximize the total profit, for liner shipping …
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Network Modeling Stochastic and Deterministic Approaches
Stochastic and deterministic approaches for modeling complex networks are presented. The methodology combines analysis of the structure formed by the interconnections among the elements of a network with an assessment of the vulnerability towards the propagation of cascading failures. The goal is …
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Extending Regulatory Network Modeling with Multistate Species
… abstraction in the representation of regulatory network models, we can hope to allow modelers to create models that are beyond the threshold of what can currently be expressed reliably. As hundreds of reactions are difficult to understand, maintain, and extend, thousands of reactions become next …
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Network Modeling and Interference Analysis in Pervasive Technology
… This vision is realized by means of wireless networks, i.e. cheap and small pervasively distributed devices which communicate wireless. Nowadays, these technologies are widely employed for several applications, such as accurate area monitoring and distributed information systems, where the …
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Bayesian Network Modeling and Inference of GWAS Catalog
… genotype-phenotype relationships. The Bayesian network has been proposed as a powerful tool for modeling single-nucleotide polymorphism (SNP)-trait associations due to its advantage in addressing the high computational complex and high dimensional problems. Most current works learn the …
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Joint Network Modeling of Omics Data for Understanding Complex Diseases
In recent years, network models have become increasingly important for the analysis of molecular data due to their ability to represent complex interplay within biological sys- tems. The availability of diverse molecular data sources, stemming from advancements in high-throughput genomic …
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Peer-to-peer network modeling for adversarial proactive cyber defenses
This thesis implements a novel peer-to-peer network simulator that integrates co-evolutionary algorithms in order to model adversarial attack and defense dynamics in networks. Modeling this behavior is desirable as it allows for network designers to better develop network defense strategies against …
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Dynamic network modeling for spaceflight logistics with time-expanded networks
This research develops a dynamic logistics network formulation for high-level lifecycle optimization of space mission sequences in order to find an optimal space transportation architecture considering its technology trades over time. The proposed methodology is inspired by terrestrial logistics …
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Multilayer network modeling of change propagation for engineering change management
… manage change propagation have largely drawn on network analysis. This thesis builds upon past research by introducing a multilayer network model that incorporates three proposed layers, or domains, that contribute to change propagation: namely, the product layer, change layer, and social layer. …
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Characterizing and analyzing disease-related omics data using network modeling approaches
… types of omics data using existing and novel network-based approaches to better understand disease development mechanisms and improve disease diagnosis and prognosis. The transcriptome reflects the expression level of mRNAs in single cells or a population of cells. Understanding the …
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Temporal Changes in Symptom-Behavior Dynamics: A Process-Focused Network Modeling Approach
… Meanwhile, recent innovations in statistical modeling have yielded novel methods for capturing processes at the level of the individual. In the present study, data were collected on a sample of individuals experiencing distress, both at baseline and following a self-help intervention. …
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Power distribution network modeling and microfluidic cooling for high-performance computing systems
… interposer. A numerical power distribution network (PDN) simulator is developed based on distributed circuit models for on-die power/ground grids, package- and board- level power/ground planes, and the finite difference method. The simulator enables power supply noise simulation, including …
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Value network modeling : a quantitative method for comparing benefit across exploration architectures
… objectives. I introduce the concept of value network models to map out the indirect benefit delivered to stakeholders. A numerical methodology for prioritizing paths through this network model is presented, with a view to discovering the most important organizational outputs. I show how value …
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Credibility assessment of volunteered geographic information for emergency management: a Bayesian network modeling approach
… model was constructed based on a Bayesian network (BN), providing a convenient way to tackle diverse problems in which conclusions are not warranted logically but rather predicted probabilistically. This research also has led to the development of an integrated framework to acquire, infer, …
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Agent-based and contact network modeling applications for Escherichia coli transmission in commercial feedlot settings
… STEC in commercial feedlot settings. The contact networks of feedlot cattle both within and between pens were characterized and an agent-based model was created to examine the influence of direct and indirect transmission routes on the pen-level prevalence of E. coli colonization. Nonpathogenic E. …
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Knowledge-based artificial neural network modeling assessment: integrating heterogeneous genomics data to uncover lifespan regulation
… continues to grow. More specifically, genetic modeling and neural network building are gaining interest as it becomes a fundamental piece of most model building we see today. We propose a Knowledge-Based Artificial Neural Network (KBANN) to predict phenotype while providing insight to effected …
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Distribution network modeling and optimization for rapid and cost-effective deployment of oilfield drilling equipment
… a reconfiguration of its tool distribution network in order to facilitate a more rapid and cost-effective delivery of drilling tools to drilling sites. Specifically, the company is considering using either a "pure" hub-and-spoke distribution setup, with one of its major facilities - OK - …
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Integrating Pro-Environmental Behavior with Transportation Network Modeling: User and System Level Strategies, Implementation, and Evaluation
… and GHG emissions from the road transportation networks. This dissertation integrates the broader goal of minimizing energy and emissions into the transportation planning process using novel systems modeling approaches. This research aims to find, investigate, and evaluate strategies that …
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Neural network modeling of the dynamics of autonomous underwater vehicles for Kalman filtering and improved localization
… time. This research explores the use of a Neural Network architecture to replace these dynamic equations. Initial experiments have showed promising results for the Neural Network although modifications will be required before the controller can be made universally applicable.
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