Essays about: "anomalies"
Showing result 6 - 10 of 434 essays containing the word anomalies.
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6. Audio Anomaly Detection in Cars
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. READ MORE
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7. If Trees Could Talk - Dendrochemistry, a Promising Method for Understanding Pollution History
University essay from Göteborgs universitet/Institutionen för geovetenskaperAbstract : Heavy metal pollution presents a significant environmental challenge in the Anthropocene era, and understanding pollution history is crucial to address historical pollution and implementing effective mitigation measures. This study stands among a few comprehensive dendrochemical investigations that utilized an extensive dataset and energy dispersive X-ray fluorescence (EDXRF) technique to reconstruct the contamination history of As, Cd, Cu, Ni, Pb, and Zn, with a focus on Cu. READ MORE
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8. Examining the Impact of Football Tournaments on Equity Markets: An Analysis of Market Anomalies, Market Dynamics and Investor sentiment
University essay fromAbstract : This paper investigates whether two international football tournaments have an effect on the performance of four major stock markets during the event period. Some previous literature suggest that the NYSE index tended to fall during every World Cup between 1950 and 2007 due to negative investor sentiment associated with losing and being knocked out of the tournament. READ MORE
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9. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE
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10. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. READ MORE