Sökning: "Best subset selection"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden Best subset selection.

  1. 1. Beam selection using Machine Learning in Massive MIMO systems

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Simon Persson; [2023]
    Nyckelord :Massive MIMO; Beamforming; Machine Learning; 5G; NR; Antenna selection; Technology and Engineering;

    Sammanfattning : In mobile communications the demand for increased capacity and speeds is a constant. 5G NR is the latest generation which is now seeing widespread adoption. Crucial technologies like Massive MIMO and beamforming are enabled by the use of large antenna arrays. LÄS MER

  3. 2. Investigating maintenance costs using response feature analysis

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Linus Hansson; [2022]
    Nyckelord :Response feature analysis; longitudinal data; maintenance costs; Response feature analysis; longitudinell data; underhållskostnader;

    Sammanfattning : Svenska Kraftnät (Svk) is responsible for ensuring that Sweden has a safe, sustainable, and cost-effective transmission system for electricity. In an effort to reduce costs, Svk has participated in a study where it has been determined that there are mostly costs for common facilities that stand out cost-wise. LÄS MER

  4. 3. Factors that affect how much women and men invest

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Marie Hamadi; Bogdana Vashchuk; [2022]
    Nyckelord :statistics; applied mathematics; investment; linear regression; equality; statistik; tillämpad matematik; investeringar; linjär regression; jämlikhet;

    Sammanfattning : A popular type of investments are financial investments. Even though the Swedish society aspires for equality, there are still financial differences between the sexes. This thesis project focuses on what factors that affect the amount that women and men invest in stocks. LÄS MER

  5. 4. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Nic Ekman; Ilias Theodoros Skordas; [2022]
    Nyckelord :5G; NR; telecom; telecommunications; ML; machine learning; algorithms; beam; widebeam; propagation; beamforming; subset; RAN; radio; radio environment; ericsson; Technology and Engineering;

    Sammanfattning : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. LÄS MER

  7. 5. Exploring the use of call stack depth limits to reduce regression testing costs

    Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och systemvetenskap

    Författare :Patrik Bogren; Isak Kristola; [2021]
    Nyckelord :Regression Testing; Test Case Selection; Code Coverage; Dynamic Program Analysis; Execution Matrix;

    Sammanfattning : Regression testing is performed after existing source code has been modified to verify that no new faults have been introduced by the changes. Test case selection can be used to reduce the effort of regression testing by selecting a smaller subset of the test suite for later execution. LÄS MER