Sökning: "Ensemblemodell"

Visar resultat 1 - 5 av 6 uppsatser innehållade ordet Ensemblemodell.

  1. 1. Predicting Breakdowns in Transportation Vehicles using Supervised Learning

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

    Författare :Shuo Li; [2023]
    Nyckelord :Breakdown Prediction; Transportation Vehicles; Diagnose; Gradient Boosting Classifier; Ensemble Model; Förutsägelse av haveri; transportfordon; diagnos; Gradient Boosting Classifier; Ensemblemodell;

    Sammanfattning : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. LÄS MER

  3. 2. FLEX: Force Linear to Exponential : Improving Time Series Forecasting Models For Hydrological Level Using A Scalable Ensemble Machine Learning Approach

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

    Författare :Koen van den Brink; [2022]
    Nyckelord :machine learning; time-series forecasting; water level forecasting; time-series transformers; recurrent neural networks; maskininlärning; tidsserieprognoser; vattenståndsprognoser; tidsserietransformatorer; återkopplade neurala nätverk;

    Sammanfattning : Time-series forecasting is an area of machine learning that can be applied to many real-life problems. It is used in areas such as water level forecasting, which aims to help people evacuate on time for floods. LÄS MER

  4. 3. Transformer-based Source Code Description Generation : An ensemble learning-based approach

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

    Författare :Mantzaris Antonios; [2022]
    Nyckelord :Natural Language Processing; Code Summarization; Transformers; Text Generation; Ensemble Learning; BLEU; Naturlig språkbehandling; Kodsammanfattning; Transformatorer; Textgenerering; Ensemble Lärande; BLEU;

    Sammanfattning : Code comprehension can be significantly benefited from high-level source code summaries. For the majority of the developers, understanding another developer’s code or code that was written in the past by them, is a timeconsuming and frustrating task. LÄS MER

  5. 4. Utilizing Hybrid Ensemble Prediction Model In Order to Predict Energy Demand in Sweden : A Machine-Learning Approach

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

    Författare :Binxin Su; [2022]
    Nyckelord :Energy Demand Prediction; Machine Learning; Hybrid Model; Ensemble Model; Random Forest; XGBoost; CatBoost; Prognos av Energiefterfrågan; Maskininlärning; Hybridmodell; Ensemblemodell; Random Forest; XGBoost; CatBoost;

    Sammanfattning : Conventional machine learning (ML) models and algorithms are constantly advancing at a fast pace. Most of this development are due to the implementation of hybrid- and ensemble techniques that are powerful tools to complement and empower the efficiency of the algorithms. LÄS MER

  7. 5. Digital Twin-based Intrusion Detection for Industrial Control Systems

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

    Författare :Seba Varghese; [2021]
    Nyckelord :Digital Twin; Intrusion Detection Systems; Industry 4.0; Industrial Control Systems; Machine Learning; Stacked Ensemble Model; Digital tvilling; Intrångsdetekteringssystem; Industri 4.0; Industriella styrsystem; Maskininlärning; Staplad ensemblemodell;

    Sammanfattning : Digital twins for industrial control systems have gained significant interest over recent years. This attention is mainly because of the advanced capabilities offered by digital twins in the areas of simulation, optimization, and predictive maintenance. LÄS MER