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 27 for “"Data constraints"”.
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Dynamic resource provisioning for data center workloads with data constraints
Dynamic resource provisioning, as an important data center software building block, helps to achieve high resource usage efficiency, leading to enormous monetary benefits. Most existing work for data center dynamic provisioning target on stateless servers, where any request can be routed to any …
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Advanced Radar Sounder Data Analysis Methods under Limited labeled Data Constraints
… However, the vast archives of radargram data produced by these instruments remain largely underexplored. Traditional manual analysis is impractical due to the scale of the data, leaving much of the information contained in these archives unexploited. To address this challenge, several …
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Computational Bayesian techniques applied to cosmology
… of the universe given our astrophysical data. A dark energy equation of state reconstruction analysis finds that the data favours the vacuum dark energy equation of state $w {=} -1$ model. Deviations from vacuum dark energy are shown to favour the super-negative ‘phantom’ dark energy …
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Evaluating the South African National School Nutrition Programme
… on weight-for- age and BMI-for-age z-scores, but data constraints necessitating the employment of a proxy selection variable and potentially unobserved discontinuity in other variables around the cut-off call into question the validity of the identification strategy. As such, these results should …
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Constraining uncertainty in climate sensitivity : an ensemble simulation approach based on glacial climate
… their consistency with present-day observational data and proxy-data from the Last Glacial Maximum (LGM). Our analyses are based on an ensemble of fully-coupled simulations, that were realized with a climate model of intermediate complexity (CLIMBER-2). These model versions cover a broad range of …
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Pricing and eminent domain takings: A case study of residential property in Las Vegas, Nevada
… was paid to owners of larger homes. Although data constraints, estimation issues and lack of previous studies hamper broad conclusions, the robust data set, consistency of model specification results, and the explanatory power of economic thought is evident in these results. The results are …
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Potential output and sources of economic growth in the Indian economy, 1950-51 to 1964-65
… during the period 1950-1965. In the light of data constraints, the period chosen is restricted to the first three Five Year Plans, 1951-56, 1956-61 and 1961-66.</p>
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Evaluating Data Augmentation with Attention Masks for Context Aware Transformations
… learning from large, pre-trained models and data augmentation are arguably the two most widespread solutions to the problem of data scarcity. However, both methods suffer from limitations that prevent more optimal solutions to natural language processing tasks. We consider that transfer …
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Secure integration of electric vehicles with the power grid
… of the system by checking the frequency constraints on messages at the aggregator apart from monitoring the cyber and physical data constraints to ensure safety of the aggregator.
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Women in business leadership and firm performance: a cross-country study
… the board representation analysis and, due to data constraints, only 2019 for the top management analysis. Random effects panel regression was used in the board level analysis and a multiple regression model was used to study the top management level impact. The results indicate a positive …
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Efeitos do programa Pé-de-Meia no ensino médio das escolas públicas brasileiras
… public school system. To this end, we use data from the Equidade.Info Project – Wave 10, administered to public school students, which includes information on program participation, socioeconomic background, perceptions of school, and attendance indicators. The empirical strategy employs …
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Modelling Sea-Level Reconstructions from Southern Greenland: Implications for Glacially-Induced Faulting
… its contribution to global mean sea level rise. Data and models related to glacial isostatic adjustment (GIA) have provided critical constraints on past GrIS evolution. These models are necessary to interpret a variety of data, including past sea-level changes and geodetic observations of current …
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Extending the Resource-Based View to Explain Venture Capital Firm Networks' Contributions to IPO Performance: A Study of Human-Based Factors
… variables and the dependent variable. Data constraints limited the number of observations examined, and the selection of IPOs investigated displayed little variance. Thus, explaining additional abnormal performance variance in IPOs backed by NVCA-member venture capital firms above and …
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Minimal Labels, Maximum Gain. Image Classification with Graph-Based Semi-Supervised Learning
… access to a large and representative labelled dataset from which they can optimise their model in a supervised manner. However, in many domains, there is a large cost to obtaining labelled data. In technical fields we need manual annotations from domain experts and for deep learning models we …
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Source structure and utilisation of rural credit and allied problems in Pakistan
… utilisation of credit. The study, using data from a large benchmark survey - the Rural Credit Survey of Pakistan, 1972-73 - looks specifically at: 1) the problem of differential 'access’ to sources of credit 2) the role of institutional credit 3) the extent, nature and scope of non …
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Source structure and utilisation of rural credit and allied problems in Pakistan
… utilisation of credit. The study, using data from a large benchmark survey - the Rural Credit Survey of Pakistan, 1972-73 - looks specifically at: 1) the problem of differential 'access’ to sources of credit 2) the role of institutional credit 3) the extent, nature and scope of non …
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Development of a least cost energy supply model for the SADC region
… country's energy sector were compiled from the data available in the public domain and are presented. It was found that energy statistics for the region are generally poor, especially on the demand side, and only available at an aggregated level. Due to data constraints the model does not …
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Learning Based Objective QoE Models Across Interactive and Immersive Media
… layers, the thesis demonstrates how data-driven methods can extract task-relevant features, learn perceptual dependencies, and achieve resource-efficient deployment. Together, these studies outline a methodological paradigm for learning-based QoE estimation applicable to interactive …
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Advanced framework for assessment and reduction of model form uncertainty of the closure laws in thermal-hydraulics codes
… investigation. However, with recent advances in data-driven techniques, a lot of attention was placed on using indirect experimental observations to improve the predictive capabilities of the closure laws. This work introduces a new methodology investigating modeling deficiencies using …
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The role of technical improvements in decarbonising passenger transport
… decades are quantified, using driver-reported data for the first time. This is important as vehicle fuel consumption reported by drivers on the road is found to be ≈35% higher than official tested values in 2017-18. The analysis shows that technical improvements had the potential to reduce fuel …
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