Sökning: "Alexander technique"

Visar resultat 1 - 5 av 71 uppsatser innehållade orden Alexander technique.

  1. 1. Beyond Profits: Exploring the Investment Styles and Risk-Adjusted Returns of ESG-Driven Portfolios

    Kandidat-uppsats,

    Författare :Alexander Olsson; Jonathan Taimory; [2023-07-06]
    Nyckelord :Risk-adjusted Returns; Investment Styles; Environmental; Social and Governance ESG ;

    Sammanfattning : This study uses daily data to examine how different ESG implementations affect performance and portfolio characteristics. With a non-homogenous view of how ESG investing is defined, ten different value-weighted portfolios are constructed. The geographical focus is the US market, with the S&P 500 total return index (SPXTR) as the screening universe. LÄS MER

  3. 2. Transformer Offline Reinforcement Learning for Downlink Link Adaptation

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

    Författare :Alexander Mo; [2023]
    Nyckelord :Link Adaptation; Transformers; Reinforcement Learning; Sequence Modelling; Decision Transformer; Deep Neural Networks; Radio Resource Management; Telecommunication; Länkanpassning; Transformers; Reinforcement Learning; Sekvensmodellering; Beslutsstöd; Djupa neurala nätverk; Dataresurshantering; Telekommunikation;

    Sammanfattning : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). LÄS MER

  4. 3. Flash Pulse Thermography Measurements of Coat Thickness

    Master-uppsats, Umeå universitet/Institutionen för fysik

    Författare :Alexander Häggkvist; [2023]
    Nyckelord :Flash Pulse Thermography; Power Function; Dynamical Thermal Tomography;

    Sammanfattning : The application of varnish, metal coats, and paint is a common practice for modifying or enhancing material properties. Metal coats are frequently used as protective layers against corrosion, heat, and wear, while also influencing characteristics like conductivity, weight, and production costs. LÄS MER

  5. 4. Differentially Private Random Forests for Network Intrusion Detection in a Federated Learning Setting

    Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Författare :Alexander Frid; [2023]
    Nyckelord :Machine Learning; Random Forest; Federated Learning; Differential Privacy; Maskininlärning; Random Forest; Federated Learning; Differential Privacy;

    Sammanfattning : För varje dag som går möter stora industrier en ökad mängd intrång i sina IT-system. De flesta befintliga verktyg som använder sig utav maskininlärning är starkt beroende av stora mängder data, vilket innebär risker under dataöverföringen. LÄS MER

  7. 5. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Alexander Berglund; [2023]
    Nyckelord :artificial intelligence; AI; machine learning; ML; deep learning; DL; computer vision; neural networks; NN; convolutional neural networks; CNN; visual odometry; VO; robustness; motion blur; AirForestry; localization; navigation; ego-motion; pose estimation; SLAM; DF-VO; DytanVO; ORB-SLAM3; artificiell intelligens; maskininlärning; datorseende;

    Sammanfattning : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. LÄS MER