Sökning: "1D-CNN"

Visar resultat 1 - 5 av 6 uppsatser innehållade ordet 1D-CNN.

  1. 1. 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. 2. How to Estimate Local Performance using Machine learning Engineering (HELP ME) : from log files to support guidance

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Hugo Ekinge; [2023]
    Nyckelord :Machine learning; GRU; 1D-CNN; Transformer; log analysis; parameter estimation; regression; performance monitoring; deep learning; troubleshooting; support; Maskininlärning; GRU; 1D-CNN; Transformer; logganalys; parameteruppskattning; regression; prestandaövervakning; djupinlärning; felsökning; support;

    Sammanfattning : As modern systems are becoming increasingly complex, they are also becoming more and more cumbersome to diagnose and fix when things go wrong. One domain where it is very important for machinery and equipment to stay functional is in the world of medical IT, where technology is used to improve healthcare for people all over the world. LÄS MER

  4. 3. MODELING AND EVALUATING AN INTELLIGENT HEALTH MONITORING SYSTEM FOR ATRIAL FIBRILLATION DETECTION

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

    Författare :Petter Nordin; [2022]
    Nyckelord :;

    Sammanfattning : The heart disease Atrial Fibrillation (AFib) has increased worldwide in recent years. Untreated AFib can lead to cardiovascular complications such as stroke and heart failure. AFib is detected by physicians using Electrocardiogram (ECG). Since this disease can occur without symptoms for some patients, it can lead to late detection. LÄS MER

  5. 4. Classification of ultrasonic signals using machine learning to identify optimal frequency for elongation control : Threaded fastening tools

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

    Författare :Mazen Bahy; [2022]
    Nyckelord :Machine Learning; Convolutions Neural Network CNN ; Barker signals; Ultrasonic sensors; Clamp-force; Threaded fastening assembly; Maskininlärning; konvolutionellt neuralt nätverk; Barker-signaler; Ultraljudssensorer; klämkraft; Åtdragningsmontering;

    Sammanfattning : Studying the preload in a screw joint has been the focus of today’s industry. The manufacturer reflects that demand by investigating different opportunities and techniques to develop this area. There are four different ways of controlling the tightening of bolts and joints to achieve the required clamp force that can hold for a specific preload. LÄS MER

  7. 5. Semi-Supervised Methods for Classification of Hyperspectral Images with Deep Learning

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

    Författare :Oscar Örnberg; [2020]
    Nyckelord :;

    Sammanfattning : Hyperspectral images (HSI) can reveal more patterns than regular images. The dimensionality is high with a wider spectrum for each pixel. Few labeled datasets exists while unlabeled data is abundant. This makes semi-supervised learning well suited for HSI classification. LÄS MER