Essays about: "Unsupervised learning"
Showing result 26 - 30 of 349 essays containing the words Unsupervised learning.
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26. Capturing time variation within systemic risk estimation
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : 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. READ MORE
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27. Applying Machine Learning Techniques for Anomaly Detection in Wooden Plank Images
University essay from Uppsala universitet/Avdelningen Vi3Abstract : 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. READ MORE
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28. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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29. Generative AI for Synthetic Data
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : 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. READ MORE
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30. Anomaly Detection in Financial Transaction Time Series Data
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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. READ MORE