Sökning: "performance anomalies"

Visar resultat 1 - 5 av 121 uppsatser innehållade orden performance anomalies.

  1. 1. Visualization and analysis of object states using diffusion models and PyTorch

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Christopher Nyberg; [2024]
    Nyckelord :;

    Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

  3. 2. Audio Anomaly Detection in Cars

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Asma Hussein; [2023-09-11]
    Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

    Sammanfattning : 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. LÄS MER

  4. 3. Examining the Impact of Football Tournaments on Equity Markets: An Analysis of Market Anomalies, Market Dynamics and Investor sentiment

    Kandidat-uppsats,

    Författare :Oskar Edgren; Josef Johansson; [2023-07-06]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  5. 4. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Deepthy Prasad; Swathi Hampapura Sripada; [2023]
    Nyckelord :multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

    Sammanfattning : 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. LÄS MER

  7. 5. Data Analysis for Energy Evaluation of Stockholm Campuses

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Esteban Moncayo Villa; [2023]
    Nyckelord :Data analysis; energy performance; Stockholm Campuses; district heating; district cooling; electricity.; Dataanalys; energiprestanda; Stockholms Campus; fjärrvärme; fjärrkyla; el.;

    Sammanfattning : The building sector is a significant contributor to global greenhouse gas emissions, necessitating the development of energy-efficient measures to address environmental concerns. The availability of building energy data sets enables the application of data analysis techniques to assess building energy conditions, providing greater potential for evaluating building energy demands. LÄS MER