Sökning: "threshold-based"

Visar resultat 1 - 5 av 20 uppsatser innehållade ordet threshold-based.

  1. 1. Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fabeena Thoufeeq; Reeba Susan Ashok; [2024]
    Nyckelord :;

    Sammanfattning : In collaboration with an industrial partner, Alfa Laval AB, this thesis discusses a novel approach for identifying operational modes, specifically a cleaning mode, in separator machines without the benefit of labelled data and with very limited operating knowledge. Understanding the operational modes is crucial for comprehending the machine’s behaviour and ensuring its optimal performance. LÄS MER

  3. 2. Between Legal Dogma and Counterfactual Analysis: Exploring Jurisdictional Shifts in EUMR Post Article 22 Guidance

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

    Författare :Nabyiel Pieter Marionell; [2023]
    Nyckelord :EU; EU law; EUMR; Competition Law; Law and Political Science;

    Sammanfattning : The jurisdiction of the Commission to review concentrations under the provi-sions of the EUMR is established either by the turnover thresholds or the case referral system. In both of these cases, jurisdiction is established through quantitative criteria, with the exception of the case referral mechanism provid-ed for in Article 22 EUMR. LÄS MER

  4. 3. Evaluating Incremental Machine Learning for Smart Home Adaptation with Embedded Systems

    M1-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Alban Islami; Nezar Sheikhi; [2023]
    Nyckelord :Machine learning; embedded systems; incremental learning; online learning; smart home;

    Sammanfattning : The combination of machine learning on embedded systems has quickly increased throughout the years. Subsets like TinyML have become an integral part of how embedded systems implement machine learning. The field has evolved quickly, and TinyOL is an emerging subset that redefines what is possible with embedded systems. LÄS MER

  5. 4. Feasibility of quantitative 99mTc-DPD scintigraphy SPECT/CT for assessing the burden of ATTR cardiac amyloidosis

    Master-uppsats, Umeå universitet/Radiofysik

    Författare :Sajad Kadhim Khalaf; [2023]
    Nyckelord :QSPECT; Amyloidosis; ATTR; LVMI; Recovery Coefficient; SUV; Calibration;

    Sammanfattning : Background: Amyloid transthyretin (ATTR) cardiomyopathy is caused by the deposition of misfolded proteins, known as amyloid fibrils, in the myocardium. Quantitative Single Photon Emission Computed Tomography (QSPECT) utilizing 99mTc-DPD scintigraphy has the potential to assess ATTR-suspected cardiac amyloidosis (CA). LÄS MER

  7. 5. Detection of Vulnerability Scanning Attacks using Machine Learning : Application Layer Intrusion Detection and Prevention by Combining Machine Learning and AppSensor Concepts

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

    Författare :Pojan Shahrivar; [2022]
    Nyckelord :Vulnerability Scanning; Random Forest; Web application security; Next-Gen Web application Firewall; Machine learning; Dynamic application security testing; Intrusion detection prevention;

    Sammanfattning : It is well-established that machine learning techniques have been used with great success in other domains and has been leveraged to deal with sources of evolving abuse, such as spam. This study aims to determine whether machine learning techniques can be used to create a model that detects vulnerability scanning attacks using proprietary real-world data collected from tCell, a web application firewall. LÄS MER