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 21 for “"Prediction modeling"”.
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Demand prediction modeling for utility vegetation management
This thesis proposes a demand prediction model for utility vegetation management (VM) organizations. The primary uses of the model is to aid in the technology adoption process of Light Detection and Ranging (LiDAR) inspections, and overall system planning efforts. Utility asset management ensures …
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Prediction modeling for graduate athletic training education programs
The purposes of this study were: • to develop a prediction model to identify factors associated with eligibility and first-attempt success on the Board of Certification (BOC) examination for students enrolled in a professional (entry-level) graduate athletic training program (GATP) • to identify …
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Real-time Traffic State Prediction: Modeling and Applications
… (ATMSs). A key component of these systems is the prediction of the spatiotemporal evolution of roadway traffic state and travel time. From the perspective of travelers, such information can result in better traveler route choice and departure time decisions. From the transportation agency …
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A Prediction Modeling Framework For Noisy Welding Quality Data
… before conducting analyses or constructing prediction models. This may not be desirable for every design and manufacturing applications since every data can contain important information to further explain the process. In this research, we propose a prediction modeling framework, which …
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Prediction modeling and distributed learning for radiotherapy outcomes in lung cancer patients
Contains fulltext : 205662.pdf (Publisher’s version ) (Open Access)
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Ionospheric Scintillation Prediction, Modeling, and Observation Techniques for the August 2017 Solar Eclipse
A full solar eclipse is going to be visible from a range of states in the contiguous United States on August 21, 2017. Since the atmosphere of the Earth is charged by the sun, the blocking of the sunlight by the moon may cause short term changes to the atmosphere, such as density and temperature …
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Localized customized mortality prediction modeling for patients with acute kidney injury admitted to the intensive care unit
Introduction. Models for mortality prediction are traditionally developed from prospective multi-center observational studies involving a heterogeneous group of patients to optimize external validity. We hypothesize that local customized modeling using retrospective data from a homogeneous subset …
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High-throughput Amplicon Sequencing Optimization for Downstream Prediction Purposes
… in pigmentation and facial morphology prediction modeling. This work also advances FDP toward wide-scale integration into forensic laboratories and demonstrates how SNP-based genotyping can extend investigative leads when traditional STR matching is insufficient.
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A NOVEL MULTI-ETHNIC STROKE RISK PREDICTION MODEL
Stroke risk prediction modeling allows for the identification of individuals who are at heightened stroke risk, which is an important first step in targeted preventive measures. Current stroke risk models are not fully generalizable to multi-ethnic populations because the most widely used one is …
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Development of Protocols and Methods for Predicting the Remaining Economic Life of Wastewater Pipe Infrastructure Assets
Performance prediction modeling is a crucial step in assessing the remaining service life of pipelines. Sound infrastructure deterioration models are essential for accurately predicting future performance that, in turn, are critical tools for efficient maintenance, repair and rehabilitation …
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Estimating Pedestrian Crashes at Urban Signalized Intersections
Crash prediction models are used to estimate the number of crashes using a set of explanatory variables. The highway safety community has used modeling techniques to predict vehicle-to-vehicle crashes for decades. Specifically, generalized linear models (GLMs) are commonly used because they can …
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Improving Treatment of Local Liver Ablation Therapy With Deep Learning and Biomechanical Modeling
… this work, we hypothesized that biomechanical modeling could be used to reduce the spatial uncertainties inherent in PTA, furthermore, that deep learning could create segmentations that are qualitatively preferred to manual contours of the liver , delineate the liver structures vii rapidly, and …
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Development of data integration strategies to improve interdisciplinarity in hazards research
… with a specific focus on data integration and modeling techniques that inform the complex problem of outmigration characterization following a hazard event. For contextualization, this dissertation first presents prior attempts at data integration. With the commonly echoed best practice of data …
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High-Throughput Phenotyping and Genomic Prediction in Multi-Environment Plant Breeding Field Trials
… and spatial models. Cross-environment prediction was conducted, and higher grain yield prediction accuracies were observed for LASSO regression models using image features (mean R2 = 0.34) than genomic prediction models alone (mean R2 = 0.26). However, the best cross-environment grain …
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Essays on Corporate Default Prediction
<p>Corporate bankruptcy prediction has received paramount interest in academic research, business practice and government regulation. The recent financial crisis, during which unexpected corporate insolvencies had caused severe damage to the aggregate economy, highlights the crucial importance of …
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Smart Quality Assurance System for Additive Manufacturing using Data-driven based Parameter-Signature-Quality Framework
… in-process sensing and machine learning-based modeling by correlating the relationships among parameters, signatures, and quality. High-fidelity AM simulation data and the increasing use of sensors in AM processes help simulate and monitor the occurrence of defects during a process and open …
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Prediction, Communication, and Distribution of Breast Cancer Risk
… the performance of current breast cancer risk prediction models and distribution of breast cancer risk in Hispanic women. Furthermore, there is limited evidence on the utility of decision aids designed to help women at high risk for breast cancer make informed choices about chemoprevention. To …
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Quantitative Imaging For Precision Medicine In Head and Neck Cancer Patients
<p>The purpose of this work was to determine if prediction models using quantitative imaging measures in head and neck squamous cell carcinoma (HNSCC) patients could be improved when noise due to imaging was reduced. This was investigated separately for salivary gland function using dynamic …
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Modeling of Groundwater Heavy Metals and Methane Pollution for a Municipal Landfill Utilizing Data Driven and Numerical Modeling Techniques
… shows original results to the advancement of modeling of groundwater heavy metal pollution and methane generation as the main two concerns in landfilling for a municipal landfill. To better understand the context of thesis, it has been divided into six major studies. The first part of the …
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Experimentally-Based Analytical Prediction of Structural Vibration
… cab, and provides an analytical method for the prediction of structural vibration. The cab is set up in a controlled laboratory environment in a manner similar to the installation on a locomotive. Field measurements are used to emulate actual vibration input to the cab structure. A 16-channel …
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