Sökning: "funktionsteknik"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet funktionsteknik.

  1. 1. Exploring the Feasibility of Exercise Detection on the Exxentric kBox Platform

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Mahyar Mehr; [2023]
    Nyckelord :Machine learning; Flywheel training; Exercise detection; Signal processing; Exxentric kBox platform; Automatic exercise classification; Feature engineering; Maskininlärning; Träning med svänghjul; Upptäckt av träning; Signalbehandling; Exxentric kBox-plattformen; Automatisk träningklassificering; Funktionsutveckling;

    Sammanfattning : Flywheel training is an increasingly popular training method that aids in the recovery process and promotes strength development while reducing the risk of re-injury. Additionally, automatic exercise classification offers athletes the convenience of effortlessly monitoring and tracking their training progress, enabling them to maintain consistency and achieve their fitness goals effectively. LÄS MER

  3. 2. Data Build Tool (DBT) Jobs in Hopsworks

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

    Författare :Zidi Chen; [2022]
    Nyckelord :feature engineering; Structured Query Language SQL ; funktionsteknik; strukturerat frågespråk SQL ;

    Sammanfattning : Feature engineering at scale is always critical and challenging in the machine learning pipeline. Modern data warehouses enable data analysts to do feature engineering by transforming, validating and aggregating data in Structured Query Language (SQL). LÄS MER

  4. 3. Credit Modeling with Behavioral Data

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

    Författare :Jingning Zhou; [2022]
    Nyckelord :Credit modeling; Behavioral data; Feature engineering; Kreditmodellering; Beteendedata; Funktionsteknik;

    Sammanfattning : In recent years, the Buy Now Pay Later service has spread across the e-commerce industry, and credit modeling is inevitable of interest for related companies to predict the default rate of the customers. The traditional data used in such models are financial bureaus which include credit records bought from external financial institutions. LÄS MER

  5. 4. Encoding Temporal Healthcare Data for Machine Learning

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

    Författare :Tamás Laczik; [2021]
    Nyckelord :Machine Learning; Temporal Data; Disease Prediction; Feature Engineering; Random Forest; Logistic Regression; Maskininlärning; tidsdata; förutsägelse av sjukdom; funktionsteknik; slumpmässig skog; logistisk regression;

    Sammanfattning : This thesis contains a review of previous work in the fields of encoding sequential healthcare data and predicting graft- versus- host disease, a medical condition, based on patient history using machine learning. A new encoding of such data is proposed for machine learning purposes. LÄS MER

  7. 5. Machine learning based inventory optimization respecting supplier order line fees

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

    Författare :Mindaugas Varkalys; [2021]
    Nyckelord :Machine learning; inventory management; order line fee; supply chain; Min Max inventory management method;

    Sammanfattning : This thesis addresses an inventory management problem of what, when and how many products should be ordered from the supplier applying order line fees. Order line fee is a fixed fee which the company pays to the supplier per every ordered product not depending on the ordered quantity. LÄS MER