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 10 of 10 for “"data-driven strategy"”.
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Developing a Data-Driven Strategy for In-Process Quality Assurance for Additive Manufacturing
… consists of sensors that provide real- time data on environmental conditions; as a result, significantly more quantitative information is available for a manufacturing process. The applications for sensor-based data are numerous, especially when considered in tandem with information from …
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Identifying and Prioritizing Essential Healthcare Services for A Private Start-Up Healthcare Hub in Laxmipasha, Bangladesh
… gaps in healthcare access. Using secondary data from national and international sources, the research analyzed disease burden, population characteristics, and service availability to determine the most urgent health priorities. A structured, evidence-based framework was used to evaluate …
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Reduced-space Gaussian process regression forecast for nonlinear dynamical systems
In this thesis work, we formulate a reduced-order data-driven strategy for the efficient probabilistic forecast of complex high-dimensional dynamical systems for which data-streams are available. The first step of this method consists of the reconstruction of the vector field in a reduced-order …
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Power System Stability Improvement with Decommissioned Synchronous Machine Using Koopman Operator Based Model Predictive Control
… The goal of this work is to design a control strategy utilizing the decommissioned generator interfaced with power grid via a back-to-back converter to provide inertia support. This is referred to as decoupled synchronous machine system (DSMS). On top of that, the grid-side converter is …
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Data science strategies for real estate development
Big data and the increasing usage of data science is changing the way the real estate industry is functioning. From pricing estimates and valuation to marketing and leasing, the power of predictive analytics is improving the business processes and presenting new ways of operating. The field of …
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Principals’ Curriculum Management Role for Promoting Quality Teaching and Learning in Mopani West District of the Limpopo Province, South Africa
… Circuit in Mopani West District. In-depth data was collected using semi-structured individual interviews with six sampled principals. Document analysis and an on-site observation checklist were also used to collect data. The findings included: principals play a pivotal curriculum management …
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Using key informant interviews to better understand differences in how local health departments inspect school share tables
… a need for a future risk assessment to develop a data-driven strategy to assess and manage the microbial risk presented by share table operations to help clarify regulations. Based on this study, the risk assessment should focus on hand contamination during share table operations, hazard …
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Identification of natural TSC-Associated Neuropsychiatric Disorders (TAND) clusters
… Phase I was a pilot phase. TAND Checklist data were collected from 56 individuals with TSC in South Africa (n=20) and in Australia (n= 36). Using R, these data were explored with various multivariate data analysis techniques to identify suitable analysis methods for the identification of …
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Investigating the attainment of optimum data quality for EHR Big Data: proposing a new methodological approach
The value derivable from the use of data is continuously increasing since some years. Both commercial and non-commercial organisations have realised the immense benefits that might be derived if all data at their disposal could be analysed and form the basis of decision taking. The technological …
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Machine Learning Approaches for Improving Construction Materials and Pavement Systems
… predictive modeling and optimization and forms a data-driven strategy for material selection and performance prediction. This dissertation is focused on four primary studies, each showing the application of ML in different applications in construction materials and pavement engineering. The first …