Sökning: "Temporal filtering"

Visar resultat 1 - 5 av 32 uppsatser innehållade orden Temporal filtering.

  1. 1. Gait analysis using machine learning : An implementation of temporal convolution networks on gait events and gait phase

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Sebastian Vogel Hauger; Logi Örn Axel Ingvarsson; [2023]
    Nyckelord :;

    Sammanfattning : This thesis aims to explore the implementation of a temporal convolution network (TCN)on gait event detection and gait phase detection. The performance of the model is eval-uated based on whether the task is gait event detection or gait phase detection. LÄS MER

  3. 2. Time Series Anomaly Detection in Radio Test

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Yu Zhu; [2023]
    Nyckelord :;

    Sammanfattning : Production tests evaluate products with automated systems enabling swift data collection, while anomaly detection in the gathered data is widely employed in industries for damage prediction and issue prevention. Ericsson, a leader in the telecommunications industry, has a Temperature Quality Test (TQT) platform which involves precise performance measurements on radios, gathering abundant data in both single value and time series formats to evaluate and improve tested products. LÄS MER

  4. 3. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario

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

    Författare :Hairuo Gao; [2022]
    Nyckelord :Participatory sensing; Data trustworthiness assessment; Anomaly detection; Traffic prediction; Deep neural network; Deltagande avkänning; Bedömning av uppgifternas tillförlitlighet; Upptäckt av anomalier; Trafikprognoser; Djupt neuralt nätverk;

    Sammanfattning : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. LÄS MER

  5. 4. Mapping wetlands in Sweden using multi-source satellite data and random forest algorithm

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

    Författare :Salvador Hernandez Malave; [2022]
    Nyckelord :physical geography and ecosystem analysis; multi-temporal; Google Earth Engine; machine learning; classification; country-wide; geomatics; Earth and Environmental Sciences;

    Sammanfattning : Wetlands are valuable ecosystems, and assets for human life, that must be regularly monitored, starting with accurately mapping their location and extent. However, an updated national inventory of wetlands is needed. LÄS MER

  7. 5. High contrast imaging through turbid media using Fourier filtering and phase retrieval algorithm

    Master-uppsats, Uppsala universitet/Institutionen för fysik och astronomi

    Författare :Sam Taylor; [2022]
    Nyckelord :;

    Sammanfattning : Fourier filtering is a powerful technique to improve the contrast when imaging through turbid media. However, the trade-off between contrast and spatial resolution is a long-standing issue that limits the Fourier filtering technique to low spatial resolution requirements. LÄS MER