Sökning: "Long Short Time Memory"

Visar resultat 21 - 25 av 218 uppsatser innehållade orden Long Short Time Memory.

  1. 21. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Samaneh Shahrokhi; [2023]
    Nyckelord :supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Sammanfattning : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. LÄS MER

  3. 22. Supervised Algorithm for Predictive Maintenance

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

    Författare :Haida Lu; [2023]
    Nyckelord :Long short-term memory; Predictive maintenance; Remaining useful life; Embedded Artificial Intelligence; Långt korttidsminne; förebyggande underhåll; återstående livslängd; inbyggd artificiell intelligens;

    Sammanfattning : Predictive maintenance plays a crucial role in preventing unexpected equipment failures and maintaining assets in good operating conditions in various systems. One such scenario where predictive maintenance has been widely used is in battery management systems for electronic vehicles based on lithium batteries, where the risk of failure can be reduced by predicting the remaining useful life of the lithium battery. LÄS MER

  4. 23. Maskininlärning med konform förutsägelse för prediktiva underhållsuppgifter i industri 4.0

    Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Shuzhou Liu; Mpova Mulahuko; [2023]
    Nyckelord :Machine Learning; Deep Learning; Uncertainty estimation; Conformal prediction; Predictive maintenance; RUL; Probabilistic predictions; Decision Tree; Random Forest; Support Vector Regression; Gradient Boosting; LSTM;

    Sammanfattning : This thesis is a cooperation with Knowit, Östrand \& Hansen, and Orkla. It aimed to explore the application of Machine Learning and Deep Learning models with Conformal Prediction for a predictive maintenance situation at Orkla. Predictive maintenance is essential in numerous industrial manufacturing scenarios. LÄS MER

  5. 24. Prediction and Analysis of 5G beyond Radio Access Network

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Gaurav Singh; Shreyansh Singh; [2023]
    Nyckelord :- LSTM; RNN; AE-LSTM; Deep Learning; Machine Learning; network traffic flow; forecasting; quality-of-service.;

    Sammanfattning : Network traffic forecasting estimates future network traffic based on historical traffic observations. It has a wide range of applications, and substantial attention has been dedicated to this research area. LÄS MER

  7. 25. Creating a Virtual Tyre Temperature Sensor

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Oskar Zetterberg; Axel Tevell; [2023]
    Nyckelord :Tyre temperature; Virtual sensor; Soft sensor; Time series; Recurrent neural networks; LSTM; GRU; Mathematics and Statistics;

    Sammanfattning : To accurately determine the efficiency and range of an electric vehicle, one must be able to estimate the rolling resistance of the car. This is currently done using standardized methods developed under laboratory settings, where transient aspects and effects of varying temperatures are excluded. LÄS MER