Sökning: "Feature Models"

Visar resultat 21 - 25 av 650 uppsatser innehållade orden Feature Models.

  1. 21. A Deep Learning Approach To Vehicle Fault Detection Based On Vehicle Behavior

    Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Rafi Khaliqi; Cozma Iulian; [2023]
    Nyckelord :Deep learning; attention mechanism; vehicle fault detection; CNN; Bi-LSTM; Bi-GRU; Supervised classification;

    Sammanfattning : Vehicles and machinery play a crucial role in our daily lives, contributing to our transportationneeds and supporting various industries. As society strives for sustainability, the advancementof technology and efficient resource allocation become paramount. LÄS MER

  3. 22. Artificial Intelligence-driven web development and agile project management using OpenAI API and GPT technology : A detailed report on technical integration and implementation of GPT models in CMS with API and agile web development for quality user-centered AI chat service experience

    M1-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Författare :Damjan Tosic; [2023]
    Nyckelord :ChatGPT; OpenAI API; WordPress; artificial intelligence; web development; user interface; chat service; agile project management; prompt engineering;

    Sammanfattning : This graduation report explores the integration of Artificial Intelligence (AI) tools, specifically OpenAI's Generative Pre-trained Transformer (GPT) technology, into web development processes using WordPress (WP) for developing a AI-driven chat service. The focus of the project is on ImagineX AB, a private company that offers the educational service ChatGPT Utbildning aimed at teaching professionals to effectively utilize ChatGPT. LÄS MER

  4. 23. Developing a Neural Network Model for Semantic Segmentation

    M1-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Ronny Westphal; [2023]
    Nyckelord :Semantic segmentation; neural network; Unity Barracuda; PyTorch; augmented reality; Semantisk segmentering; neurala nätverk; Unity Barracuda; PyTorch; augmenterad verklighet;

    Sammanfattning : This study details the development of a neural network model designed for real-time semantic segmentation, specifically to distinguish sky pixels from other elements within an image. The model is incorporated into a feature for an Augmented Reality application in Unity, leveraging Unity Barracuda—a versatile neural network inference library. LÄS MER

  5. 24. Extraction of Global Features for enhancing Machine Learning Performance

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

    Författare :Abyel Tesfay; [2023]
    Nyckelord :Machine Learning; Deep Learning; Feature Extraction; Global Features; Time-series data; Bioprocessing; Maskininlärning; Djupinlärning; Funktionsextraktion; Globala Funktioner; Tidsserie data; Biobearbetning;

    Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER

  7. 25. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

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

    Författare :Niklas Barth; [2023]
    Nyckelord :Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

    Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER