Sökning: "Unsupervised method"

Visar resultat 1 - 5 av 172 uppsatser innehållade orden Unsupervised method.

  1. 1. Generative adversarial network for point cloud upsampling

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Edison Widell Delgado; [2024]
    Nyckelord :Point cloud upsampling; Generative adversarial network; GAN;

    Sammanfattning : Point clouds are a widely used system for the collection and application of 3D data. But most timesthe data gathered is too scarce to reliably be used in any application. LÄS MER

  3. 2. Hyperspectral and multispectral satellite data analysis of nitrogen in grazed and ungrazed tundra in Långfjället, Sweden

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Emma Dahlstedt; [2023-08-18]
    Nyckelord :Hyperspectral imaging; Imaging spectroscopy; Nitrogen; Reindeer; Herbivory; Tundra; Grazing;

    Sammanfattning : Reindeer are a keystone species in the circumpolar north, where they hold great cultural and ecological importance. Continued climate change threatens the long-term sustainability of reindeer husbandry. Reindeer can affect the tundra landscape, influencing the soil nutrient cycling, including the soil nitrogen availability. LÄS MER

  4. 3. Credit Card Fraud Detection by Nearest Neighbor Algorithms

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Ramin Maghsood; [2023-04-13]
    Nyckelord :Fraud; Bank Fraud; Credit Card Fraud; Fraud Detection; Nearest Neighbor Algorithms;

    Sammanfattning : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. LÄS MER

  5. 4. Unsupervised Online Anomaly Detection in Multivariate Time-Series

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datorteknik

    Författare :Ludvig Segerholm; [2023]
    Nyckelord :unsupervised; online; anomaly detection; explainable ai; machine learning; mahalanobis distance;

    Sammanfattning : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. LÄS MER

  7. 5. ISAR Imaging Enhancement Without High-Resolution Ground Truth

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Moltas Enåkander; [2023]
    Nyckelord :SAR; SAR Imaging; ISAR; ISAR Imaging; Machine learning; Convolutional neural network; CNN; neural network; Super resolution; Unsupervised learning;

    Sammanfattning : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. LÄS MER