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 4 of 4 for “"Gradient boosting regression"”.
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Using a Single inertial measurement unit to measure the knee flexion angle at touchdown in side cutting movements
… Vicon video motion capture system. Random Forest Regression and Gradient Boosting Regression machine learning algorithms were applied to the IMU data. According to the results, the thigh is the best location for a single IMU sensor, and the knee flexion angle at touchdown can be measured with an …
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Prediction of Gravel Streambed Embeddedness Using Explainable AI and Machine Learning Techniques
… This study extends that work by developing two boosting machine learning models using remotely sensed data and explainable artificial intelligence (XAI) to uncover important variables related to physical processes affecting embeddedness in Virginia (VA) and the United States (U.S.). The VA model …
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Human Inspection Variability in Infrastructure Asset Management: A Focus on HVAC Systems
… and unique inspectors . Utilizing Linear Regression, Random Forest, and Gradient Boosting Regression, this model accurately predicted Variability Ratings, signifying the potential for implementation as a decision support tool. Importantly, the findings highlight the need to not only …
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Solar power forecasting using Gaussian process regression
… datapoints. Ve proposed using Gaussian process regression (GPR) to predict solar power generation. In South Africa, studies based on GPR regarding forecasting solar power are still very few, and more needs to be done in this area. At first, we explored covariance function selection, and a GPR …