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 423 for “"Prediction accuracy"”.
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Ground vibration from underground railways: how simplifying assumptions limit prediction accuracy
… to provide a better estimation of the prediction accuracy when numerical models are used for "real world" applications. The first section investigates the effect of voids at the tunnel-soil interface. The Pipe-in-Pipe model is extended to allow finite-sized voids at the interface by …
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Artificial Neural Network-Based Flood Forecasting: Input Variable Selection and Peak Flow Prediction Accuracy
… forecasting models, more reliable flood risk predictions, and better preparedness for flood events.
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Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing
… The quality of the data affects the result and accuracy of the data mining results. Hence, Data preprocessing becomes one of the critical steps in a data mining process.</p> <p>In the research of text mining, document classification is a growing field. Even though we have many existing …
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Call center demand forecasting : improving sales calls prediction accuracy through the combination of statistical methods and judgmental forecast
… The proposed methodology improves the accuracy of weekly forecasted call volume from 23% to 46% and of daily volume from 27% to 41%. Further improvements are easily achievable through the adjustment and projection processes introduced herein that rely on contextual information and the …
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A Genome-wide Association Study of Schizophrenia in the South African Xhosa and Generalizability of Polygenic Risk Score across African populations
… variation in these populations. Thus, the prediction accuracy of polygenic risk scores (PRS) derived from EUR ancestry populations is less accurate in populations of non-European ancestry, and least accurate in African (AFR) ancestry populations. The extent to which PRS prediction accuracy …
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A computational model of visual attention.
… visual attention models is limited in terms of prediction accuracy and computational complexity. In spite of significant amount of active research in this area, modelling visual attention is still an open research challenge. This thesis proposes a novel computational model of visual attention …
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Computational Investigation of Perforated Plate Film Cooling Utilizing Conjugate Heat Transfer
<p>The accuracy of modern state-of-practice computational fluid dynamics approaches in predicting the cooling effectiveness of a perforated plate film-cooling arrangement is evaluated in ANSYS Fluent. A numerical investigation is performed using the Reynolds Averaged Navier Stokes equations and …
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AI/Machine learning approach to identifying potential statistical arbitrage opportunities with FX and Bitcoin Markets
… change forecasts on the USD by inferring a prediction using closing spot rates of three currency pairs: EUR/USD, GBP/USD and CHF/USD. The forecasts made by the genetically trained ANN are compared to those made by a new variation of the simple moving average (MA) trading strategy, tailored …
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Forecasting corporate performance
… to use financial information to make good predictions and thereby good decisions. There are two major purposes of the study. The first is to gain insight into the amount of increase in prediction accuracy that is expected to be achieved when a model replaces the human decision-maker in the …
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Internet negotiation patterns and an appraisal of data mining from a managerial perspective : a case study approach
… from different data mining, especially on their prediction accuracies, were also conducted. The results revealed that the TRI method enjoys the highest prediction accuracy while consuming least processing time. The ANN method has the lowest prediction accuracy. Our research results also indicated …
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An exploration of alternative features in micro-finance loan default prediction models
… used to improve the performance of loan default prediction models. The improvement gained by using alternative features is measured by comparing loan default prediction models trained using only traditional credit scoring data to models developed using a combination of traditional and alternative …
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Coupled model transformations for QoS enabled component-based software design
… aspects resulting in a loss of prediction accuracy. The solution presented in this thesis introduces the Palladio Component Model for component-based software design with predictable performance attributes. Transformations map instances of this model into implementations …
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Discrimination between sincere and deceptive isokinetic knee extension response using segmental curve analysis
… Fisher [1989], it would be possible to develop prediction equations to discriminate between sincere and deceptive isokinetic knee extension tests, whether these equations could be applied to a new sample, and whether prediction accuracy is dependent on test speed. Fisher [1989] trained 76 …
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Meta-data to enhance case-based prediction.
… the regularity of case bases used in Case-Based Prediction (CBP) systems and the reliability of their constituent cases prior to the system's deployment to influence user confidence on the delivered solutions. The reliability information, referred to as meta-data, is then used to enhance …
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Rapid remaining-useful-life prediction of Li-ion batteries using image-based machine learning
… methodology, is proposed to increase the prediction accuracy of the conventional health indicator methodology by 6.72% by using images of data curves as inputs. Subsequently, a more in-depth machine learning model is presented which managed to considerably outperform the current literature …
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Investigating the use of ensemble techniques in predicting object-oriented software maintainability
Context: Prediction of the maintainability of classes in object-oriented systems is a significant factor for software success; however, it is a challenging task. Although prior object-oriented software maintainability literature acknowledges the role of machine learning techniques as valuable …
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Combining genotyping-by-sequencing data sets for GWAS and GWS study for maize root System architecture traits
… with maize seedling root traits and increase prediction accuracy. We used 679 inbred lines, 377 from Ames Panel and 302 from BGEM Panel. The root seedlings phenotype was obtained via image software from plants 14 days old grown in paper rolls in a growth chamber. We evaluated five root traits: …
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Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables
… factors. We make empirical comparisons of the prediction accuracy of three existing dynamic computer models with only quantitative factors. Among the three models, the dynamic linear Gaussian process model and the singular value decomposition based Gaussian process model outperform. Based on …
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Feature selection and classification for high-dimensional biological data under cross-validation framework
… more stable feature subset and to optimize the prediction accuracy. We utilize DNA microarray gene expression datasets to describe our methods. We have summarized our work in the following order: (1) the structure of high dimensional biological datasets and the statistical methods to analyze …
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