Sökning: "Upptäckt av anomalier"

Hittade 5 uppsatser innehållade orden Upptäckt av anomalier.

  1. 1. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jakub Reha; [2023]
    Nyckelord :Graph neural networks; Temporal graphs; Benchmark datasets; Anomaly detection; Heterogeneous graphs; Provenance graphs; Grafiska neurala nätverk; temporala grafer; benchmark-datauppsättningar; anomalidetektering; heterogena grafer; härkomstgrafer;

    Sammanfattning : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. LÄS MER

  3. 2. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Rémi Bourgerie; [2023]
    Nyckelord :5G 4G; Federated Learning; Graoh Learning; Graph-based Federated Learning; Temporal Graph Neural Networks; Time Series; Anomaly Detection; Fault Detection; 5G 4G; Federerat lärande; Graf lärande; Grafbaserat federerat lärande; Temporal Graph Neural Networks; Tidsserier; Upptäckt av anomalier; Upptäckt av fel;

    Sammanfattning : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. LÄS MER

  4. 3. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Hairuo Gao; [2022]
    Nyckelord :Participatory sensing; Data trustworthiness assessment; Anomaly detection; Traffic prediction; Deep neural network; Deltagande avkänning; Bedömning av uppgifternas tillförlitlighet; Upptäckt av anomalier; Trafikprognoser; Djupt neuralt nätverk;

    Sammanfattning : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. LÄS MER

  5. 4. Machine Learning to identify aberrant energy use to detect property failures

    Master-uppsats, KTH/Energiteknik

    Författare :Shahroz Habib; [2020]
    Nyckelord :;

    Sammanfattning : The digitalization of energy sector has provided immense amount of data about buildings which created an untapped opportunity for energy savings using energy data analytics. In recent years, there has been significant research on energy optimization using machine learning. LÄS MER

  7. 5. 3D Modelling of TEM Data : from Rajapalot Gold-Cobalt prospect, northern Finland

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurser

    Författare :Niklas Torikka; [2019]
    Nyckelord :TEM; Geophysic; Rajapalot; Electromagnetic;

    Sammanfattning : The Rajapalot gold-cobalt project in northern Finland is an exciting, relatively new discovery, still being explored with hopes to start mining in the future. The area was found by a IP/Resistivity survey in 2013. LÄS MER