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 375 for “"network models"”.
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Network Models In Evacuation Planning
… the development and analysis of optimization models for evacuation planning. Specifically we consider the cases of large-scale regional evacuation using household vehicles and hospital evacuation. Since it is difficult to estimate the exact number of people evacuating, we first consider the …
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Constrained Optimization Problems in Network Models
… we focus our attention on some mathematical models that are decision problems and which are all based on networks and applied to different real situations. We analyze different thematic areas such as Cloud Computing, Financial Market, Business Management and Cybersecurity and for each of them …
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Probabilistic network models for cardiovascular monitoring
… heart. In this thesis, we explore probabilistic networks as a method for integrating different types of clinical data into a single model, and as a vehicle for summarizing population statistics from medical databases. These networks can then be used to estimate unobservable variables of interest. …
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Bayesian network models of biological signaling pathways
… from high-throughput data. We apply Bayesian network structure inference to signaling protein measurements performed in thousands of single cells, using a machine called a flow cytorneter. Our de novo reconstruction of a T-cell signaling map was highly accurate, closely reproducing the known …
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Neural Network Models for Generating Synthetic Flight Data
… augmentation. In this thesis, several neural network architectures were investigated as methods of generating synthetic flight data that is consistent with the aircraft dynamics.</p>
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Polarization-based underwater geolocalization with neural network models
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Lipreading with convolutional and recurrent neural network models
… talking head, given only the video using neural network classification models. Two neural network architectures are developed and tested on the AVICAR dataset, including one convolutional neural network (CNN) model with fully connected classification layer, and one recurrent neural network (RNN) …
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Deep neural network models for image classification and regression
… Furthermore, the performance of deep learning models has a strong dependency on the way in which these latter are designed/tailored to the problem at hand. This, thereby, raises not only precision concerns but also processing overheads. The success and applicability of a deep learning system …
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Pricing Decentralization in Customized Pricing Systems and Network Models
… In the first part of this thesis, we consider a network in which products consist of combinations of perishable resources. In this model, different revenue-maximizing "controllers" determine the resource prices and the price of the product is the sum of the prices of the constituent resources. …
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Algorithmic generation of vascular network models for additive manufacturing
… with an internal mass transport system (vascular network) that can provide cells with nutrients and oxygen while removing waste, to imitate the functions of human living tissue. Achieving such a system would allow the development of large-scale tissue constructs and increase the potential for in …
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Coarse-grained Modeling of Protein Dynamics using Elastic Network Models
… coarse-grained methods, especially elastic network models (ENMs), are frequently employed. In the last years, studies on various proteins showed that ENMs reliably reproduce experimental data, despite the simplified protein representation and the purely harmonic potential function. This work …
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Statistical Study of Chemical Reaction Network Models for Prebiotic Evolution
This thesis focuses on models of prebiotic evolution. The models abstractly describe chemical reaction networks and their dynamic evolution. The goal is to findquantitative measures of their generic features that can be used to identify lifelike systems in the solar system and on exoplanets, as …
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JigCell Model Connector: Building Large Molecular Network Models from Components
The ever-growing size and complexity of molecular network models makes them difficult to construct and understand. Modifying a model that consists of tens of reactions is no easy task. Attempting the same on a model containing hundreds of reactions can seem nearly impossible. We present the JigCell …
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Image Compression and Channel Error Correction using Neurally-Inspired Network Models
… around the world. Neurally-inspired compression models have been rapidly developed and researched as a solution to image processing tasks and channel error correction control. This dissertation presents a deep neural network (DNN) for gray high-resolution image compression and a fault-tolerant …
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Macroscopic insights from mechanistic ecological network models in a data void
… of components at lower levels of organization. Network modeling and analysis, being a powerful tool that can capture the interconnections that embody complex behaviour, has therefore been at the forefront of complexity science. In ecology, the network paradigm is relatively young and there …
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Neural network models for zebra finch song production and reinforcement learning
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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Exploring the landscape of backdoor attacks on deep neural network models
Deep neural networks have recently been demonstrated to be vulnerable to backdoor attacks. Specifically, by introducing a small set of training inputs, an adversary is able to plant a backdoor in the trained model that enables them to fully control the model's behavior during inference. In this …
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