Essays about: "Error modeling"
Showing result 6 - 10 of 198 essays containing the words Error modeling.
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6. Dirichlet-to-Neumann maps and Nonlinear eigenvalue problems
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : Differential equations arise frequently in modeling of physical systems, often resulting in linear eigenvalue problems. However, when dealing with large physical domains, solving such problems can be computationally expensive. READ MORE
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7. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. READ MORE
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8. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE
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9. Investigation of fuel and water injection in gas turbine combustion : Evaluate the methodologies available in Star CCM+ for modeling of water injection in simplified combustor using liquid and gas fuels
University essay from Linköpings universitet/Mekanisk värmeteori och strömningsläraAbstract : The negative impact of gas turbine emissions on the environment and human health is a growing concern. Recent studies suggest injecting water into the combustion process effectively reduces emissions and increases power output. However, this approach presents new challenges that need to be thoroughly investigated. READ MORE
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10. Implementing SAE Techniques to Predict Global Spectacles Needs
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : This study delves into the application of Small Area Estimation (SAE) techniques to enhance the accuracy of predicting global needs for assistive spectacles. By leveraging the power of SAE, the research undertakes a comprehensive exploration, employing arange of predictive models including Linear Regression (LR), Empirical Best Linear Unbiased Prediction (EBLUP), hglm (from R package) with Conditional Autoregressive (CAR), and Generalized Linear Mixed Models (GLMM). READ MORE