Sökning: "dependencies identification method"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden dependencies identification method.

  1. 1. 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

  3. 2. Data Driven Model Identification for Remote Electrical Tilt Systems

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Raphaël Ashruf; [2023]
    Nyckelord :;

    Sammanfattning : This thesis explores the use of supervised machine learning for modelling the dynamics of Remote Electrical Tilt (RET) telecom systems. Three methodologies, including linear regressionfor linear dynamics models, Gaussian Process (GP) regression, and Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU) are proposed. LÄS MER

  4. 3. Applicering och utvärdering av en konsekvensanalysmetod för beroenden

    Master-uppsats, Lunds universitet/Riskhantering (CI); Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Författare :Emma Andersson; Daniel Carlström; [2020]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Dependencies between critical infrastructures are often complex by nature, which makes it hard to assess both their criticality and their impact level. These are the overarching reasons behind the development of a newly proposed KE-method at Lund University (at CenCIP) in cooperation with the Swedish Civil Contingencies Agency (MSB) in 2018/19. LÄS MER

  5. 4. Development of Acoustic Simulations using Parametric CAD Models in COMSOL

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

    Författare :Rubén Noya Pozo; Antoine Bouilloux-Lafont; [2019]
    Nyckelord :parametric CAD models; KBE; acoustic simulations; optimisation; collaboration; MDO; Parametriska CAD modeller; KBE; akustiksimulering; optimering; samarbete; MDO;

    Sammanfattning : With constantly changing regulations on emissions, heavy commercial vehicles manufacturers have to adapt for their products to preserve their quality while meeting these new requirements. Over the past decades, noise emissions have become a great concern and new stricter laws demand companies to decrease their vehicle pass-by noise target values. LÄS MER

  7. 5. Classifying Research on UML model Inconsistencies with Systematic Mapping

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Pavan Kumar Thalanki; Vinay Kiran Maddukuri; [2013]
    Nyckelord :UML; Consistency Problems; Systematic Mapping; Systematic Literature Review; Modeling;

    Sammanfattning : Context: Unified Modeling Language (UML) is a universal and standard modeling language that has been extensively used in software development process. Due to overlap and synchronous nature among different modeling artefacts in UML, several consistency issues have been identified in many software development projects that may lead to project failure. LÄS MER