Sökning: "Long Short-Term Memory Networks LSTM"

Visar resultat 16 - 20 av 141 uppsatser innehållade orden Long Short-Term Memory Networks LSTM.

  1. 16. Forecasting Codeword Errors in Networks with Machine Learning

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

    Författare :Angus Hansson Svan; [2023]
    Nyckelord :Forecasting; Codeword Errors; Hybrid Fiber-Coaxial; Long Short-Term Memory; Multilayer Perceptron; Hybridfiber-koaxialt nätverk; HFC; LSTM; MLP;

    Sammanfattning : With an increasing demand for rapid high-capacity internet, the telecommunication industry is constantly driven to explore and develop new technologies to ensure stable and reliable networks. To provide a competitive internet service in this growing market, proactive detection and prevention of disturbances are key elements for an operator. LÄS MER

  3. 17. 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

  4. 18. 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

  5. 19. 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

  7. 20. 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