Essays about: "Gaussian Process regression"

Showing result 11 - 15 of 60 essays containing the words Gaussian Process regression.

  1. 11. Investigation of Machine Learning Regression Techniques to Predict Critical Heat Flux

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Emil Helmryd Grosfilley; [2022]
    Keywords : Critical Heat Flux; Machine Learning; Regression; Neural Network; nu-Support vector regression; Gaussian Process regression; Transfer Learning;

    Abstract : A unifying model for Critical Heat Flux (CHF) prediction has been elusive for over 60 years. With the release of the data utilized in the making of the 2006 Groeneveld Lookup table (LUT), by far the largest public CHF database available to date, data-driven predictions on a large variable space can be performed. READ MORE

  2. 12. Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Lasse Harkort; [2022]
    Keywords : dissolved organic carbon; machine learning; remote sensing; inland waters; water quality; open source data; Earth and Environmental Sciences;

    Abstract : This thesis presents the first attempt to estimate Dissolved Organic Carbon (DOC) in inland waters over a large-scale area using satellite data and machine learning (ML) methods. Four ML approaches, namely Random Forest Regression (RFR), Support Vector Regression (SVR), Gaussian Process Regression (GPR), and a Multilayer Backpropagation Neural Network (MBPNN) were tested to retrieve DOC using a filtered version of the recently published open source AquaSat dataset with more than 16 thousand samples across the continental US matched with satellite data from Landsat 5, 7 and 8 missions. READ MORE

  3. 13. Utilizing Genetic Algorithm and Machine Learning to Optimize a Control System in Generators : Using a PID controller to damp terminal voltage oscillations

    University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Author : Fredrik Strand; [2022]
    Keywords : AVR; AI; data-driven; GA; SVM; GPR; SVR; Ziegler-Nichols; Z-N;

    Abstract : Hydropower is an important part of renewable power production in Sweden. The voltage stability of the already existing hydropower needs to be improved. One way to do this is by improving the control system that damp terminal voltage oscillations. READ MORE

  4. 14. Optimal Q-Space Sampling Scheme : Using Gaussian Process Regression and Mutual Information

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Ture Hassler; Jonathan Berntsson; [2022]
    Keywords : AI; Machine learning; Gaussian process; Gaussian process regression; MRI; dMRI; q-space; sampling; statistics; information theory; mutual information; entropy; pytorch; gpytorch;

    Abstract : Diffusion spectrum imaging is a type of diffusion magnetic resonance imaging, capable of capturing very complex tissue structures, but requiring a very large amount of samples in q-space and therefore time.  The purpose of this project was to create and evaluate a new sampling scheme in q-space for diffusion MRI, trying to recreate the ensemble averaged propagator (EAP) with fewer samples without significant loss of quality. READ MORE

  5. 15. Predicting Quality of Experience from Performance Indicators : Modelling aggregated user survey responses based on telecommunications networks performance indicators

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Christian Vestergaard; [2022]
    Keywords : Quality of Experience; Telecommunication; Regression; Long Short Term Memmory; Clustering; K-means; Gaussian Mixture Models; Användarupplevelse; Telekommunikation; Regression; Long Short Term Memmory; Klusteranalys; K-means; Gaussian Mixture Models;

    Abstract : As user experience can be a competitive edge, it lies in the interest of businesses to be aware of how users perceive the services they provide. For telecommunications operators, how network performance influences user experience is critical. To attain this knowledge, one can survey users. READ MORE