Sökning: "performance anomalies"

Visar resultat 21 - 25 av 121 uppsatser innehållade orden performance anomalies.

  1. 21. A comparison of remote sensed semi-arid grassland vegetation anomalies detected using MODIS and Sentinel-3, with anomalies in ground-based eddy covariance flux measurements.

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Jason Craig Joubert; [2023]
    Nyckelord :Geography; GIS; Anomaly Detection; Remote Sensing; fAPAR; GDMP; GPP; MODIS; Sentinel-3; Earth and Environmental Sciences;

    Sammanfattning : Remote sensed vegetation biophysical indicators are derived from various sensors and methods and contribute to the quantification of vegetation growth. They are used as inputs to early warning systems for crop yield estimation, thus improving crop management and food security. LÄS MER

  3. 22. Unsupervised Machine Learning Based Anomaly Detection in Stockholm Road Traffic

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

    Författare :Vilma Hellström; [2023]
    Nyckelord :Anomaly detection; DBSCAN; LSTM; Machine learning; Synthetic anomalies; Unsupervised learning; Anomalidetektering; DBSCAN; LSTM; maskininlärning; syntetiska anomalier; oövervakad inlärning;

    Sammanfattning : This thesis is a study of anomaly detection in vehicle traffic data in central Stockholm. Anomaly detection is an important tool in the analysis of traffic data for improved urban planing. Two unsupervised machine learning models are used, the DBSCAN clustering model and the LSTM deep learning neural network. LÄS MER

  4. 23. Detection of software incidents from large log material with the use of unsupervised machine learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :DIMITRIOS ANASTASIADIS; JAKUB LENART; [2022-06-20]
    Nyckelord :binary classification; log; anomaly detection; machine learning; Local Outlier Factor; Isolation Forest; PCA; LSTM-Autoencoder;

    Sammanfattning : Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies can be spotted in the system through its produced log material. LÄS MER

  5. 24. Root-cause analysis with data-driven methods and machine learning in lithium-ion battery tests : Master's thesis about detecting deviations with PCA

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Frans Rademacher; [2022]
    Nyckelord :Machine learning; Li-ion; batteries; PCA; deviations; anomaly detection; root-cause analysis; differential capacity; feature engineering;

    Sammanfattning : The increased demand of energy storage systems and electric vehicles on the market result in high demand of lithium-ion batteries. As a lithium-ion battery manufacturer, Northvolt runs quality tests on the products to assess their performance, life and safety. LÄS MER

  7. 25. Investigating the use of machine learning in key performance indicatorprediction for User Experience of Connectivity

    Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :David Skiöld; Shivani Arora; [2022]
    Nyckelord :AI; dataschience; connected cars;

    Sammanfattning : Connectivity has been introduced to the car industry and currently Volvo, amongother automobile companies, currently has cars which are connected to the internetand can share data with external devices or services. However, these connected carsoften face issues with connectivity which is a concern for user quality of experience(QoE). LÄS MER