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 8 of 8 for “"random forest method"”.
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Quantifying the Effects of Correlated Covariates on Variable Importance Estimates from Random Forests
… of algorithmic modeling techniques. These methods can be used to analyze data which are difficult to analyze using traditional statistical models. This study examined the effectiveness of variable importance estimates from the random forest algorithm in identifying the true predictor among …
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A digital approach to the management of brownfields
This thesis investigates analytic and data-mining methods that can be used for the management of petroleum brownfields, specifically as it applies to the surveillance, analysis, & optimization of gas lifted oil wells. Building on the output of validated physics-based models, this thesis …
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Computational Analysis of Gene Expression Regulation from Cross Species Comparison to Single Cell Resolution
… health. First, we presented a comprehensive method to identify cross-species modules between two plant species. We adapted the unsupervised network-based module finding method to identify conserved patterns of co-expression and functional conservation between Arabidopsis, a model species, and …
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Soil Salinity Study in Northern Great Plains Sodium Affected Soil
… study the experimental design was a completely randomized design and each treatment was replicated four times. Following the application of chemical remediation strategies, 45.2 cm of water was leached through these columns. The leachate was separated into 120- ml increments and analyzed for Na …
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Power Analysis and Prediction for Heterogeneous Computation
… ZeroR, simple linear regression, KNN, bagging, random forest, SMO regression, decision tree, and neural networks) in predicting GPU power consumption at different frequencies. Our study shows that a support vector machine-aided regression model (i.e., SMO regression) achieves the highest …
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Control of crystalline particle properties by spray drying
… A crystallisability predictive model based on a Random Forest method was successfully produced through combining molecular descriptors with published and experimental outcomes. The model provided up to 79 % accuracy in predicting whether an amorphous or crystalline product would be expected from …
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A Holistic Analysis for Spatiotemporal Interdependencies of Deforestation, Forest Degradation and Landslide Susceptibility in NE Iran
Various biotic and abiotic agents are changing forests. Prolonged human activities substantially could cause not only different changes in forests but also could accelerate natural hazards in the Anthropocene. Despite several remote sensing-based research in forest changes, there is a need for a …
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Hydrodynamics of Saltwater Intrusion in Heterogeneous Coastal Aquifers
… layered to block-wise structured and finally randomly distributed cases. The results were then compared to numerical models, including a stochastic model using randomly generated heterogeneous fields.In order to facilitate the goals of the experimental study, a novel methodology was developed …