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 43 for “"Generation Models"”.
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Generation models for internet of things sensing applications
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Temporal transferability assessments of vehicle ownership models and trip generation models for Boston Metropolitan Area
In the last few decades, travel demand models have undergone tremendous development and, today, are routinely used to support planning and policy decisions. But uncertainty in forecasting with such models is often overlooked, and its impact on forecast accuracy is rarely evaluated. My thesis is …
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Vulnerability to currency crises: a contrast between south Africa and Zimbabwe in the 1990s.
This paper conducts a review of theoretical models of currency crises, distinguishing between first- and second-generation models. First generation models focus on the role of unsustainable government policy in precipitating crisis, whereas second generation models are more concerned with the …
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Higgs family symmetry and supersymmetry
In this thesis we investigate building models of family symmetry that give the Higgs fields family structure. We construct several models, starting with 2 generation models then moving onto 3 generation models. These models are described sequentially in chapters 2 through 6. All of these models are …
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Incorporação da incerteza paramétrica na geração de séries sintéticas de vazões através de reamostragem
Streamflow generation models are very useful in simulation studies of river regulation. However there is always an uncertainty in their parameters due to fact that time period of the streamflow records are always short. The Bayesian and Classic methods for consideration of parameter uncertainty …
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Topological characteristics of IP networks
… detection measures, and understanding business models. Accurate measurement, inference and modelling techniques are fundamental to Internet topology research. A requirement towards achieving such goals is the measurements of network topologies at different levels of granularity. In this work, I …
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A needs-based approach to activity generation for travel demand analysis/
… of conventional activity-based travel demand models. Operational activity-based models specify activity generation models based on empirical considerations which are weakly founded in a behavioral theory. This thesis aims to enhance the specification of the activity generation models by …
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Learning to Solve Optimization Problems with Hidden Components: Applications in Automated Treatment Planning
Designing optimization models that capture decision-maker preferences typically requires guidance from domain experts. We can instead employ machine learning (ML) to design contextual optimization models using data sets of past decisions. In this thesis, we propose techniques to formulate and solve …
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Determination of Harmonics for Modeling Integration of Solar Generation to The Electric Grid
… a model for analysis of integrating solar generation to the electric grid .The model is then used in determining Harmonics of Integrating solar panels to the electric grid that are based on parallel or series combination of solar cells. To study integration of solar generation to the grid, …
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Augmenting Transformers for Open Domain Procedural Text Comprehesion
… shed some light on behaviors of natural language generation models, we examine the task of procedural text comprehension using neuro-symbolic techniques. We use this task as a testbed for exploring the limitations of state-of-the-art systems such as GPT on the task of predicting the resulting …
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Representation learning with random images
… In this thesis, we investigate a suite of image generation models that produce images from simple random processes. These are then used as training data for a visual representation learner with a contrastive loss. We study two types of noise processes, statistical image models and deep generative …
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Physics-informed gated recurrent unit neural networks model for surface temperature estimation of Lithium-ion batteries
… including electrical, thermal, and heat generation models, during training. Validated experimentally on a 14-series connected cell module under varying C-rates and ambient temperatures. The model achieves mean absolute errors of 1.32°C, 1.33°C, and 1.91°C for 1C, 1.5C, and 2C rates at …
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An analysis of residential trip generation in Cape Town
… is presented, and the importance of the trip generation sub-model within the conventional traffic forecasting model is highlighted. A review of past and current practice in the analysis of residential trip generation is presented. The least-squares and category analysis techniques are …
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Uncertainty-Inclusive Contrastive Learning for Leveraging Synthetic Images
Recent advancements in text-to-image generation models have sparked a growing interest in using synthesized training data to improve few-shot learning performance. Prevailing approaches treat all generated data as uniformly important, neglecting the fact that the quality of generated images varies …
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Towards collaborative dialogue in Minecraft
… specifically examine how well end-to-end neural models can learn to be instruction givers (i.e., Architects) from a limited amount of real human-human data. In order to examine how humans complete the Collaborative Building Task, as well as use human-human data as a gold standard for training and …
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Leading indicators of currency crisis : an application to the 1996 South African currency crisis
… on establishing the causes of currency crises. Models developed then focused mainly on finding out a fixed exchange rate policy combined with excessively expansionary pre-crisis fundamentals push the economy into crisis with the private sector trying to profit from inconsistent policies. The …
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Kinematic synthesis of planar four bar and geared five bar mechanisms with structural constraints
In motion generation, the objective is to calculate the mechanism parameters required to achieve or approximate a set of prescribed rigid-body positions. This doctoral dissertation study is aimed to integrate the classical kinematic analysis of a planar four-bar and geared five-bar motion …
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A GAN-BASED HUMAN UV COORDINATES ESTIMATION
In image or video generation tasks that involve people, it is crucial to obtain accurate representations of the 3D human shape and appearance for efficient generation of modified content. Human UV coordinates estimation establishes correspondences between 3D human body surface representations and …
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Requirements Documents Evolution and Synchronization with Activities in the Refined Requirements Generation Model
… requirements. However, the existing requirements generation models do not sufficiently stress the importance of identifying intermediate requirements documents. In addition, the models rarely specify how those documents support the objectives of the related activities. Moreover, the current models …
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RGML: A Specification Language that Supports the Characterization of Requirements Generation Processes
Despite advancements in requirements generation models, methods and tools, low quality requirements are still being produced. One potential avenue for addressing this problem is to provide the requirements engineer with an interactive environment that leads (or guides) him/her through a structured …
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