Sökning: "Long Short-Term Memory Networks"

Visar resultat 21 - 25 av 175 uppsatser innehållade orden Long Short-Term Memory Networks.

  1. 21. System Integration and Verification Verdict Automation using Machine Learning

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Anthony Kommareddy; [2023]
    Nyckelord :Error Detection; Machine Learning; Deep Learning; Log Files; Verdicts.;

    Sammanfattning : Context: The volume of log files is massive as they contain vital information about the application’s behavior; they map out broad parts of the application, allowing us to understand how every component behaves, whether normally or abnormally. As a result, it is critical to examine the log files to see if the system is deviating from its usual path. LÄS MER

  3. 22. 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

  4. 23. 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

  5. 24. An Artificial Neural Network Approach to Algorithmic Trading

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Timmie Bengtsson; [2023]
    Nyckelord :Financial Markets; Machine Learning; Long Short-Term Memory; Gated Recurrent Unit; Recurrent Neural Networks; Time Series Analysis; Algorithmic Trading; Mathematics and Statistics;

    Sammanfattning : The field of machine learning has advanced significantly in recent decades, and, at the same time, computational power has improved to the point where training large machine learning models, such as artificial neural networks, is now accessible. Consequently, there has been a rise in the use of these models within the financial sector, with some firms leveraging them to assist with investment decisions. LÄS MER

  7. 25. Learning Based Road Estimation

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Sanna Amirijoo; Karl Niwong; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The interest in autonomous driving has vastly increased, leading to a surge in research and development efforts over the past decades. This technology could enhance road safety, alleviate traffic congestion, and yield numerous environmental and economic benefits. LÄS MER