Sökning: "abnormal behavior"

Visar resultat 21 - 25 av 117 uppsatser innehållade orden abnormal behavior.

  1. 21. Aktieprisförändringar vid extrema händelser : Hur Pfizer och Modernas aktiekurser påverkades av pressmeddelanden rörande vaccinframtagningen för covid-19

    Kandidat-uppsats, Högskolan Dalarna/Institutionen för kultur och samhälle

    Författare :Simon Hedlund; Philip Janols; Daniel Kling Glans; [2021]
    Nyckelord :Share prices; Covid-19; External events; Financial news; Stock market; Vaccine; Pfizer; Moderna; Press release; Abnormal return; Coronavirus; Market model; Event study;

    Sammanfattning : In late 2019, the spread of the coronavirus SARS-CoV-2 (Severe acute respiratory syndrome coronavirus 2) began. The viral disease, also known as covid-19, started spreading from China to large parts of the world in early 2020, resulting in a large number of cases, deaths, as well as major impacts on the economy of nations, organizations, and individuals alike. LÄS MER

  2. 22. Information Consumption and Price Informativeness: The Link Between Behavior and Price Discovery

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Renjo Gabro; Samuel Svensson; [2021]
    Nyckelord :Price informativeness; Information consumption; institutional investors;

    Sammanfattning : As technologies to share and consume information become more efficient and the information available to investors grow exponentially, the relationship between information consumption and price discovery becomes increasingly important to understand. We study the relationship between information consumption and price informativeness. LÄS MER

  3. 23. Anomaly Detection in User Authentication Logs using Long Short-Term Memories and Word Embeddings

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

    Författare :Mikael Forsmark; [2020]
    Nyckelord :;

    Sammanfattning : As an increasing amount of sensitive data is being stored at various connected services and platforms, the need for robust user authentication mechanisms that maintain the users’ safety and personal integrity online are growing. Meanwhile, too strict and simplistic user authentication policies may result in a degraded user experience which increases the demand for a sharp user authentication security tool that flags login events as abnormal with high accuracy. LÄS MER

  4. 24. Human pose augmentation for facilitating Violence Detection in videos: a combination of the deep learning methods DensePose and VioNetHuman pose augmentation for facilitating Violence Detection in videos: a combination of the deep learning methods DensePose and VioNet

    Master-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Ivan Calzavara; [2020]
    Nyckelord :Violent Detection; Deep Learning; DensePose; Human Pose; Data Augmentation; Image Segmentation;

    Sammanfattning : In recent years, deep learning, a critical technology in computer vision, has achieved remarkable milestones in many fields, such as image classification and object detection. In particular, it has also been introduced to address the problem of violence detection, which is a big challenge considering the complexity to establish an exact definition for the phenomenon of violence. LÄS MER

  5. 25. NDVI time series analysis for desert locust outbreak detection and quantification analysis of its impact on vegetation productivity of Sahel

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Evangelos Oikonomopoulos; [2020]
    Nyckelord :Physical Geography and Ecosystem Analysis; Primary Productivity; Desert Locust; NDVI; Time Series Analysis; Outbreak Detection; Food Security; Sahel; Insect Disturbances; GEM; Earth and Environmental Sciences;

    Sammanfattning : It has been shown that the semi-arid environment of the Sahelian belt plays an important role in the global carbon uptake as the fluctuation of its primary productivity can be determinant for the global carbon uptake. The insect Schistocerca gregaria commonly known as the desert locust is a disturbance factor that can affect the vegetation productivity for consecutive seasons. LÄS MER