Sökning: "examensarbete algoritmer"

Visar resultat 1 - 5 av 174 uppsatser innehållade orden examensarbete algoritmer.

  1. 1. Few-Shot Learning for Quality Inspection

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Jesper Palmér; Ahmad Alsalehy; [2023]
    Nyckelord :Few-Shot Learning; AI; Transformers; ViT Deviation; Vision Transformers;

    Sammanfattning : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. LÄS MER

  3. 2. Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees

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

    Författare :Alexander Willemsen; [2023]
    Nyckelord :Behaviour Trees; Genetic Programming; Quality Diversity; Gedragsbomen; Genetische Programmering; Kwaliteitsdiversiteit; Beteendeträd; Genetisk Programmering; Kvalitetsmångfald;

    Sammanfattning : One of the main purposes of the fields of Robotics and Artificial Intelligence is to develop solutions that can autonomously solve problems. An important part of this is synthesising behaviours of robots. Behaviour Trees are a tree structure that enables combining existing lower level behaviours into a high level behaviour through task switching. LÄS MER

  4. 3. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

    Författare :Shihang Zhou; [2023]
    Nyckelord :Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Sammanfattning : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. LÄS MER

  5. 4. Optimal process design with simulation-based optimization

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Giulia Grasso; [2023]
    Nyckelord :Optimization; Multi-Objective; Simulation-based; Optimering; flermålsoptimering; simuleringsbaserad;

    Sammanfattning : Nowadays, it has become crucial to transform company production processes in order to reduce carbon emissions. Therefore, the company LKAB is working to make the production process of iron ore pellets fossil-free. In particular, this thesis project focuses on the pellet induration stage and addresses the mathematical optimization of the process. LÄS MER

  7. 5. The Interconnectivity Between SLAM and Autonomous Exploration : Investigation Through Integration

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

    Författare :Elliði Ívarsson; [2023]
    Nyckelord :SLAM; ORB-SLAM2; Autonomous exploration; UFOExplorer; Integration; SLAM; ORB-SLAM2; Autonom Utforskning; UFOExplorer; Integration;

    Sammanfattning : Two crucial functionalities of a fully autonomous robotic agent are localization and navigation. The problem of enabling an agent to localize itself in an unknown environment is an extensive and widely studied topic. One of the main areas of this topic focuses on Simultaneous Localization and Mapping (SLAM). LÄS MER