Sökning: "1D convolutional neural network"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden 1D convolutional neural network.

  1. 1. Deep Learning for the prediction of RASER-MRI profiles

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik

    Författare :Filip Arvidsson; Jonas Bertilson; [2023]
    Nyckelord :MRI; NMR; AI; Deep Learning; RASER-MRI; Media Technology; KIT; LIU; CNN; Autoencoder; Djupinlärning; Medieteknik; Magnetröntgen;

    Sammanfattning : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. 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. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning

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

    Författare :Beatrice Lovely; [2022]
    Nyckelord :Smart Devices; Machine Learning; Sensors; Radar; Inertial Measurement Unit; Computer Vision; Smarta Saker; Maskininlärning; Sensorer; Radar; Tröghetsmåttenhet; Dator- seende;

    Sammanfattning : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. LÄS MER

  5. 4. 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

  7. 5. Multi-objective optimization for model selection in music classification

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Rintaro Ujihara; [2021]
    Nyckelord :Music emotion recognition; Mel spectrogram; MFCC; CENS; Onset; Tonnetz; HPSS; 1D convolutional neural network; Attention LSTM; 1DCNN BiLSTM; Pareto optimality;

    Sammanfattning : With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. LÄS MER