Sökning: "Gaussian process regression"

Visar resultat 1 - 5 av 60 uppsatser innehållade orden Gaussian process regression.

1. 1. Ranging Error Correction in a Narrowband, Sub-GHz, RF Localization System

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Silvia Barrett; [2023]
   Nyckelord :Localization; Narrowband; Sub-GHz; Radio Frequency; RSSI; Time-of-Flight; Error mitigation; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression; Loalisering; Narrowband; Sub-GHz; Radiofrekvens; RSSI; Time-of-Flight; Felkorrigering; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression;

   Sammanfattning : 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. LÄS MER

3. 2. Data Driven Modeling for Aerodynamic Coefficients

   Master-uppsats, KTH/Matematisk statistik

   Författare :Erik Jonsäll; Emma Mattsson; [2023]
   Nyckelord :Master s thesis; System identification; Parameter estimation; Ordinary least squares; Machine learning; Aerodynamic coefficients; F18--HARV; Flight simulations.; Masteruppsats; Systemidentifiering; Parameteruppskattning; Minstakvadratmetoden; Maskininlärning; Aerodynamiska koefficienter; F18-HARV; Flygsimuleringar.;

   Sammanfattning : 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. LÄS MER

4. 3. Data Driven Model Identification for Remote Electrical Tilt Systems

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Raphaël Ashruf; [2023]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

5. 4. Modeling and quantifying uncertainty in bus arrival timeprediction

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Olof Josefsson; [2023]
   Nyckelord :uncertainty quantification; arrival time prediction;

   Sammanfattning : 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. LÄS MER

7. 5. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Erik Warberg; [2023]
   Nyckelord :Room segmentation; Gaussian processes; Euclidean distance fields; mapping; line segment detection; mobile robots; spectral clustering; Rumssegmentering; Gaussiska processer; Euklidiska avståndsfält; kartläggning; detektering av linjesegment; mobila robotar; spektral klustring;

   Sammanfattning : 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. LÄS MER