Sökning: "lnu medieteknik"

Visar resultat 1 - 5 av 442 uppsatser innehållade orden lnu medieteknik.

  1. 1. Supplementing Dependabot’svulnerability scanning : A Custom Pipeline for Tracing DependencyUsage in JavaScript Projects

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Isak Karlsson; David Ljungberg; [2024]
    Nyckelord :Vulnerability scanning; Software Dependencies; JavaScript; TypeScript; Dependabot; Vulnerability Scanning Tools; Software Security; Pipeline; GitHub; Dependency Management;

    Sammanfattning : Software systems are becoming increasingly complex, with developers frequentlyutilizing numerous dependencies. In this landscape, accurate tracking and understanding of dependencies within JavaScript and TypeScript codebases are vital formaintaining software security and quality. LÄS MER

  3. 2. Time Series Forecasting on Database Storage

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Pranav Patel; [2024]
    Nyckelord :Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

    Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER

  4. 3. Case Study: Assessing the Security of a ZigBee Smart HomeNetwork

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Robal Saker; Obaida Abu Issa; [2024]
    Nyckelord :ZigBee; vulnerabilities; smart home; technical user; non-technical user;

    Sammanfattning : Utilizing the ZigBee protocol is pervasive in the context of smart homes, offering substantial convenience to individuals. However, smart home devices commonly handle significant quantities of real-world information, potentially giving rise to concerns related to information leakage. LÄS MER

  5. 4. Code Review Application : Simplifying code review through data flow visualization

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Viktor Möllerström; Jesper Roos; [2023]
    Nyckelord :data flow; visualization; code review; security;

    Sammanfattning : From a security standpoint, manual code review is widely regarded as a dependable practice, particularly in systems with heightened security needs. However, it is also a time-consuming and laborious task that requires careful consideration. LÄS MER

  7. 5. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Li Ang Hu; Long Ma; [2023]
    Nyckelord :Imbalanced datasets; Swedish text financial datasets; Accuracy; Matthews correlation coefficient; Recall; Multinomial Naive Bayes; SMOTE; TomekLinks; Performance optimization;

    Sammanfattning : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. LÄS MER