Sökning: "förklara och utvärdera"
Visar resultat 1 - 5 av 124 uppsatser innehållade orden förklara och utvärdera.
1. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. LÄS MER
2. Predicering av aktiekursutveckling för svenska aktier utifrån konjunkturdata
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This study aims to investigate whether Swedish economic indicators can be used to predict stock market performance on the Stockholm Stock Exchange. The study is expected to contribute to new research in the field and also explore the potential utility of these predictions for individual investors. LÄS MER
3. Interactive infographics for communicating sustainability : Use of an interactive infographic in explaining a complex sustainability framework for companies
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : The natural world is under immense and increasing pressure caused by human activity. The adjustment from a state of declining nature to a more sustainable world requires changes of social and economic activities by individuals, societies, and the private sector. LÄS MER
4. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER
5. Gyromätning i tunnelnät : Gyromätningens påverkan på kortare stomnät i tunnelmiljö
Kandidat-uppsats, Karlstads universitet/Institutionen för miljö- och livsvetenskaper (from 2013)Sammanfattning : Geodetic measurements with a gyro theodolite are an important technique for establishing control networks in tunnelling projects. The observations are used as a separate control point outside the main network while checking the angle of the tunnels direction as it is difficult to connect the underground network to a superior network outside the tunnel. LÄS MER