Essays about: "outliers"
Showing result 31 - 35 of 179 essays containing the word outliers.
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31. Root-cause analysis with data-driven methods and machine learning in lithium-ion battery tests : Master's thesis about detecting deviations with PCA
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : The increased demand of energy storage systems and electric vehicles on the market result in high demand of lithium-ion batteries. As a lithium-ion battery manufacturer, Northvolt runs quality tests on the products to assess their performance, life and safety. READ MORE
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32. Interactive Network Visualization of Insurance Portfolios
University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenAbstract : Companies are seeking new ways to analyse data, and network visualizations are a great tool to enhance the ability to understand relational data. The objective of this thesis project was to build an interactive network visualization of an insurance company’s portfolio. READ MORE
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33. Analysis of Electricity Usage Time Series with K-means Clustering
University essay from Uppsala universitet/ElektricitetsläraAbstract : As the amount of collected and analysed data for electricity usage from buildings is increasing it becomes an important component in energy efficiency efforts. A huge problem when developing algorithms fordetection of anomalous electricity usage series is the lack of data setswith annotated normal usage series for training and evaluation purposes. READ MORE
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34. Application of ERT for Quality Assurance in Jet Grouting Columns; A development of an alternative quality control
University essay from Lunds universitet/Teknisk geologi; Lunds universitet/Väg- och vattenbyggnad (CI)Abstract : With the increased urbanization major cities are facing, expansion of larger facilities and households are inevitable. Expansion means larger areas of the surface needs to be used where the risk of varying subsurface soil properties increases with larger surface areas. READ MORE
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35. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios
University essay from KTH/Hälsoinformatik och logistikAbstract : Convolutional neural networks (CNN) have come a long way and can be trained toclassify many of the objects around us. Despite this, researchers do not fullyunderstand how CNN models learn features (edges, shapes, contours, etc.) fromdata. READ MORE