Essays about: "Gaussian process regression"
Showing result 1 - 5 of 60 essays containing the words Gaussian process regression.
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1. Ranging Error Correction in a Narrowband, Sub-GHz, RF Localization System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Being able to keep track of ones assets is a very useful thing, from avoiding losing ones keys or phone to being able to find the needed equipment in a busy hospital or on a construction site. The area of localization is actively evolving to find the best ways to accurately track objects and devices in an energy efficient manner, at any range, and in any type of environment. READ MORE
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2. Data Driven Modeling for Aerodynamic Coefficients
University essay from KTH/Matematisk statistikAbstract : Accurately modeling aerodynamic forces and moments are crucial for understanding thebehavior of an aircraft when performing various maneuvers at different flight conditions.However, this task is challenging due to complex nonlinear dependencies on manydifferent parameters. READ MORE
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3. Data Driven Model Identification for Remote Electrical Tilt Systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis explores the use of supervised machine learning for modelling the dynamics of Remote Electrical Tilt (RET) telecom systems. Three methodologies, including linear regressionfor linear dynamics models, Gaussian Process (GP) regression, and Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU) are proposed. READ MORE
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4. Modeling and quantifying uncertainty in bus arrival timeprediction
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Public transportation operates in an environment which, due to its nature of numerous possibly influencing factors, is highly stochastic. This makes predictions of arrival times difficult, yet it’s important to be accurate in order to adhere to travelers expectations. READ MORE
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5. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. READ MORE