Sökning: "small domain"

Visar resultat 11 - 15 av 254 uppsatser innehållade orden small domain.

  1. 11. Sim2Real: Generating synthetic images from industry CAD models with domain randomization

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Duruo Li; [2023]
    Nyckelord :;

    Sammanfattning : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. LÄS MER

  3. 12. DevOps: Assessing the Factors Influencing the Adoption of Infrastructure as Code, and the Selection of Infrastructure as Code Tools : A Case Study with Atlas Copco

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

    Författare :David Ljunggren; [2023]
    Nyckelord :DevOps; Infrastructure as Code; Automation; DevOps; Infrastruktur som kod; Automation;

    Sammanfattning : This research initiative, which takes the shape of an interpretive qualitative case study, intends to investigate the key considerations for organizations that are to adopt IaC and select an IaC tool. Interviews with operations specialists with varying experience with Infrastructure as Code were conducted for data collection, which was then followed by thematic data analysis. LÄS MER

  4. 13. AI-POWERED TEXT ANALYSIS TOOL FOR SENTIMENT ANALYSIS

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Dani Kebede; Naod Tesfai; [2023]
    Nyckelord :Sentiment analysis; Artificial intelligence; NLP; RoBERTa;

    Sammanfattning : In today’s digital era, text data plays a ubiquitous role across various domains. This bachelor thesis focuses on the field of sentiment analysis, specifically addressing the task of classifying text into positive, negative, or neutral sentiments with the help of an AI tool. LÄS MER

  5. 14. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning

    Kandidat-uppsats, Uppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

    Författare :Joar Lönngren; Ludwig Tiston; [2023]
    Nyckelord :Machine Learning; Neural Network; Cosmic Dust; Solar Orbiter; Space Physics; Space Dust;

    Sammanfattning : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. LÄS MER

  7. 15. Simulation of low frequency acoustic waves in small rooms : An SBP-SAT approach to solving the time dependent acoustic wave equation in three dimensions

    Kandidat-uppsats,

    Författare :Alva Fährlin; Olle Edgren Schüllerqvist; [2023]
    Nyckelord :room acoustics; numerical methods; SBP; SAT; acoustic wave equation.;

    Sammanfattning : Low frequency acoustic room behaviour can be approximated using numerical methods. Traditionally, music studio control rooms are built with complex geometries, making their eigenmodes difficult to predict mathematically. LÄS MER