Essays about: "Gaussian Process"

Showing result 6 - 10 of 169 essays containing the words Gaussian Process.

  1. 6. Multidimensional Classification of Radar Signals : A comparison between unidimensional and multidimensional classification models for pulsed radar signals

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Max Ek Törmä; [2023]
    Keywords : pulsed radar classification; Bayesian Gaussian mixture models; Dirichlet process mixture models; multidimensional radar classification; pulsed radar signals; radar signal classification;

    Abstract : Radar is a technique used by many different types of remote sensing systems to keep track of their surroundings. The transmitted radar signals may carry information that could be used to infer the type of transmitter. Multiple papers have investigated the classification of pulse repetition intervals produced by radar systems. READ MORE

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

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Raphaël Ashruf; [2023]
    Keywords : ;

    Abstract : 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

  4. 8. Optimization of Gammasphere Data Following the Nuclear Reaction 36Ar + 24Mg → 60Zn∗

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysik

    Author : Paul Böhm; [2023]
    Keywords : re-calibration; Gammasphere; 54Fe; Physics and Astronomy;

    Abstract : The experiment at Argonne National Laboratory aimed to study the fusion-evaporation reaction following the collision of a high-energy particle beam of 36Ar with a stationary target of 24Mg. This paper outlines the creation and implementation of an automated re-calibration procedure for the high-purity Germanium detectors comprising the Gammasphere array used for γ-ray spectroscopy in this experiment. READ MORE

  5. 9. Hybrid Microwave Resonator-Nanoscale Conductor Systems

    University essay from Lunds universitet/Matematisk fysik; Lunds universitet/Fysiska institutionen

    Author : Daniel Larsson Persson; [2023]
    Keywords : Circuit Quantum Electrodynamics; Open Quantum Systems; Gaussian States; Two-Mode Two-Photon Jaynes-Cummings Model; Jaynes-Cummings Model; Lyapunov Equation; Phase-Space Description; Duan Criterion; Entanglement; Light-Matter Interaction; Mean Field; Double Quantum Dot; Harmonic Oscillator; Two-Mode Squeezing; Symplectic Form; GKSL Equation; Lindblad Equation; Physics and Astronomy;

    Abstract : Entanglement is a fundamental aspect of quantum computation and quantum information processes. In this work, we analyse the entanglement of two microwave resonators when connected to a semiconductor double quantum dot. READ MORE

  6. 10. Multi-Scale Topology Optimization of Lattice Structures Using Machine Learning

    University essay from Uppsala universitet/Tillämpad mekanik

    Author : Julia Ibstedt; [2023]
    Keywords : Topology optimization; Multi-scale topology optimization; Machine learning; Gaussian process; Homogenization; Inverse homogenization; Anisotropic materials; Symmetry groups; Material property space; Topologioptimering; Flerskalig topologioptimering; Maskininlärning; Gaussian process; Homogenisering; Anisotropa material; Symmetrigrupper; Materialegenskapsrymd;

    Abstract : This thesis explores using multi-scale topology optimization (TO) by utilizing inverse homogenization to automate the adjustment of each unit-cell's geometry and placement in a lattice structure within a pressure vessel (the design domain) to achieve desired structural properties. The aim is to find the optimal material distribution within the design domain as well as desired material properties at each discretized element and use machine learning (ML) to map microstructures with corresponding prescribed effective properties. READ MORE