Sökning: "Unsupervised learning"
Visar resultat 26 - 30 av 361 uppsatser innehållade orden Unsupervised learning.
26. Capturing time variation within systemic risk estimation
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : Systemic risk can be defined as the risk to the whole financial system. Financial institutions may contribute more or less to this risk, and measuring the systemic risk contributions of institutions is of central importance for regulators. LÄS MER
27. Applying Machine Learning Techniques for Anomaly Detection in Wooden Plank Images
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3Sammanfattning : Anomaly detection is an important first step of quality control in manufacturing processes. In wooden planks, anomalies such as broken knots and resin pockets can lower the quality of the final product. With the help of machine vision, inspections can be made faster, at higher accuracy, and at a lower cost. LÄS MER
28. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. LÄS MER
29. Generative AI for Synthetic Data
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Synthetic data generation has emerged as a valuable technique for addressing data scarcity and privacy concerns and improving machine learning algorithms. This thesis focuses on progressing the field of synthetic data generation, which may play a crucial role in AI-heavy industries such as telecommunications. LÄS MER
30. Anomaly Detection in Financial Transaction Time Series Data
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This master thesis investigates two methods of anomaly detection on financial time series data. It aims to determine an optimal method for anomaly detection with the purpose of flagging anomalous transactions within foreign exchange trading data. It also aims to determine whether the data points flagged as anomalies have any commonalities. LÄS MER