Sökning: "kth nearest neighbor"

Visar resultat 1 - 5 av 46 uppsatser innehållade orden kth nearest neighbor.

  1. 1. Exogenous Fault Detection in Aerial Swarms of UAVs

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Maja Westberg; [2023]
    Nyckelord :Exogenous Fault Detection; Local Outlier Factor; Aerial Swarm; Unmanned Aerial Vehicle; Behavioral Feature Vector; Outlier Detection; Cluster Analysis; Exogen Feldetektering; Local Outlier Factor; Drönarsvärm; Obemannad Drönare; Beteendevektor; Avvikelse-Analys; Kluster-Analys;

    Sammanfattning : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. LÄS MER

  3. 2. Development and Application of Analytical Tools for Calcium Signaling Dynamics in MDCK-II Cells

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Hanna Israelsson; [2023]
    Nyckelord :Cellpose 2.0; MDCKII; GCaMP6m; Gap Junctions; Calcium; Ouabain; Cellpose 2.0; MDCKII; GCaMP6m; Gap Junctions; Kalcium; Ouabain;

    Sammanfattning : Calcium, a pivotal ion in various human signaling pathways, holds significant relevance in cancer research and treatment. Investigating the transmission of spontaneous calcium signals between cells and understanding how they are influenced by different treatments is therefore an interesting area of study. LÄS MER

  4. 3. Matching Trades with Confirmations via Contrastive Learning : Asymmetric Contrastive Learning on Text Data

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

    Författare :Markus Hector; [2023]
    Nyckelord :Asymmetric Contrastive Learning; Attention; GloVe; Securities Trading; Asymmetrisk kontrast-inlärning; Uppmärksamhetsmekanism; GloVe; Värdepappershandel;

    Sammanfattning : In the banking world trades of securities are finalized every day, on behalf of the banks themselves or of their clients. When the trades have been booked by the front office the confirmations sent by the counterparty have to be checked and connected to the correct trade by hand, posing the question whether this process could not be automated using machine learning techniques. LÄS MER

  5. 4. Comparative Analysis of Machine Learning Methods for Predicting Property Prices and Sale Velocities in the Real Estate Industry

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

    Författare :Lucas Eren; [2023]
    Nyckelord :Machine Learning; Real Estate Industry; Selling Prices; Sale Velocities; Comparative Analysis; Maskininlärning; Fastighetsbranschen; Försäljningspriser; Försäljningshastighet; Jämförande Analys;

    Sammanfattning : The real estate industry is one of the largest industries in the world and using data-driven decision-making has been shown to increase companies’ profitability. A technique to apply data-driven decision-making is machine learning. LÄS MER

  7. 5. PV self-consumption: Regression models and data visualization

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Martos Tóth; [2022]
    Nyckelord :Self-Consumption; photovoltaics; battery; machine learning; solar energy; random forest; k-nearest neighbor; multi-layer perceptron; lasso regression; ridge regression; linear regression; Egenanvändning; photovoltaics; batteri; maskininlärning; solenergi; random forest; k-nearest neighbors; multi-layer perceptron; lasso regression; ridge regression; linjär regression;

    Sammanfattning : In Sweden the installed capacity of the residential PV systems is increasing every year. The lack of feed-in-tariff-scheme makes the techno-economic optimization of the PV systems mainly based on the self-consumption. The calculation of this parameter involves hourly building loads and hourly PV generation. LÄS MER