Sökning: "Anomaly"

Visar resultat 1 - 5 av 246 uppsatser innehållade ordet Anomaly.

  1. 1. Feasibility Study for Autovalidation of Blood Cells in a Digital Morphology System

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Elin Branzell; Linnea Hellholm; [2019]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This thesis was carried out at CellaVision, a company within digital blood analysis, with the aim of investigating the possibility of autovalidation of blood cells using neural networks. The thesis started with preparing a dataset for training and validation, including cell features and binary labels indicating if the cell is easy or difficult to classify. LÄS MER

  2. 2. Vocabulary Acquisition Based on Nation’s Criteria for Knowing a Word, with a Focus on Proficiency and Frequency : A Study on Incidental Vocabulary Acquisition through Reading and the Role of Surrounding Factors

    Kandidat-uppsats, Linköpings universitet/Institutionen för kultur och kommunikation; Linköpings universitet/Institutionen för kultur och kommunikation

    Författare :Tina Erlandsson; Sara Gutierrez Wallgren; [2019]
    Nyckelord :Incidental vocabulary acquisition; criteria for knowing a word; proficiency level; word frequency; passive vocabulary; controlled active vocabulary; active vocabulary;

    Sammanfattning : Several studies have been made in the field of second language acquisition (SLA) regarding incidental vocabulary acquisition through reading. However, the majority have focused on the meaning of a word to measure complete acquisition. LÄS MER

  3. 3. Anomaly Detection in Industrial Networks using a Resource-Constrained Edge Device

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Anton Eliasson; [2019]
    Nyckelord :Machine learning; Anomaly detection; Industrial networks; Profinet; Edge computing; Edge;

    Sammanfattning : The detection of false data-injection attacks in industrial networks is a growing challenge in the industry because it requires knowledge of application and protocol specific behaviors. Profinet is a common communication standard currently used in the industry, which has the potential to encounter this type of attack. LÄS MER

  4. 4. Hybrid Extended Isolation Forest : Anomaly Detection for Bird Alarm

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

    Författare :Viktor Holmér; [2019]
    Nyckelord :;

    Sammanfattning : The Isolation Forest algorithm is a random forest based anomaly detection algorithm utilizing isolation to determine anomality of data. The Hybrid Isolation Forest and Extended Isolation Forest algorithms were independently developed to overcome two separate issues with the Isolation Forest algorithm. LÄS MER

  5. 5. Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic

    Master-uppsats, KTH/Matematisk statistik

    Författare :Gabriel Damour; [2019]
    Nyckelord :Network Security; Distributed Denial of Service; DDoS; DoS; Anomaly Detection; Intrusion Detection; Attack Source Identification; Information Theory; Statistical Learnin; Nätverkssäkerhet; Distribuerad Överbelastningsattack; DDoS; DoS; Anomalidetektering; Intrångsdetektering; Identifiering av Attackkällor; Informationsteori; Maskininlärning;

    Sammanfattning : With the current proliferation of cyber attacks, safeguarding internet facing assets from network intrusions, is becoming a vital task in our increasingly digitalised economies. Although recent successes of machine learning (ML) models bode the dawn of a new generation of intrusion detection systems (IDS); current solutions struggle to implement these in an efficient manner, leaving many IDSs to rely on rule-based techniques. LÄS MER