Essays about: "threshold-based"
Showing result 1 - 5 of 20 essays containing the word threshold-based.
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1. Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : 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. READ MORE
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2. Between Legal Dogma and Counterfactual Analysis: Exploring Jurisdictional Shifts in EUMR Post Article 22 Guidance
University essay from Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakultetenAbstract : 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. READ MORE
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3. Evaluating Incremental Machine Learning for Smart Home Adaptation with Embedded Systems
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : 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. READ MORE
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4. Feasibility of quantitative 99mTc-DPD scintigraphy SPECT/CT for assessing the burden of ATTR cardiac amyloidosis
University essay from Umeå universitet/RadiofysikAbstract : 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). READ MORE
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5. Detection of Vulnerability Scanning Attacks using Machine Learning : Application Layer Intrusion Detection and Prevention by Combining Machine Learning and AppSensor Concepts
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE