Sökning: "Embedding"

Visar resultat 1 - 5 av 276 uppsatser innehållade ordet Embedding.

  1. 1. Detecting inconsistencies of safety artifacts with Natural Language Processing Bachelor of Science Thesis

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Xuni Huang; [2023-01-09]
    Nyckelord :Inconsistencies; Safety-critical systems; Natural language processing; Classification;

    Sammanfattning : This paper investigates a method that helps detect inconsistencies between safety-critical systems’ textual safety artifacts that safety cases rely on by involving NLP techniques. A design science research study was conducted in three iterations. I evaluate the method by conducting different experiments. LÄS MER

  2. 2. Deep Learning Based Sentiment Analysis

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Shashank Kalluri; [2023]
    Nyckelord :Sentiment Analysis; Word Embedding; Deep Learning;

    Sammanfattning : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. LÄS MER

  3. 3. Artificial Transactional Data Generation for Benchmarking Algorithms

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Veronica Lundgren; [2023]
    Nyckelord :Data Analytics; Synthetic Data; Statistical Distribution; Embedding; Transactional Data;

    Sammanfattning : Modern retailers have been collecting more and more data over the past decades. The increased sizes of collected data have led to higher demand for data analytics expertise tools, which the Umeå-founded company Infobaleen provides. A recurring challenge when developing such tools is the data itself. LÄS MER

  4. 4. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

    Författare :David Rydgård; [2023]
    Nyckelord :Fiber networks; Paperboard mechanics; Deep learning; Tomography; Image analysis; Technology and Engineering;

    Sammanfattning : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. LÄS MER

  5. 5. Construction of a scanning confocal microscope for Quantum Dot mapping at telecom wavelength

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Alexandros Bampis; [2023]
    Nyckelord :Nanophotonics; Quantum Dot Positioning; Photoluminescence Mapping; Scanning Microscope; Nanofotonik; Positionering av kvantprickar; Fotoluminescenskartläggning; Skanningsmikroskop;

    Sammanfattning : Future commercial applications making use of non-classical light sources require bright quantum emitters. Such emitters can be achieved by embedding self-assembled, optically active semiconductor quantum dots (QDs) in centered photonic structures. LÄS MER