Sökning: "transfer-learning."

Visar resultat 16 - 20 av 276 uppsatser innehållade ordet transfer-learning..

  1. 16. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press

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

    Författare :Joakim Nylander Nordström; [2023]
    Nyckelord :Machine Learning; Deep Learning; Predictive Maintenance; High Pressure Processing;

    Sammanfattning : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. LÄS MER

  3. 17. Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Oliver Persson Bogdanovski; Christoffer Svenningsson; [2023]
    Nyckelord :Precision Agriculture; Sentinel-1 SAR; Machine Learning; Winter Wheat; Harvest Prediction; RFI-filtering; Despeckling; Mathematics and Statistics;

    Sammanfattning : Aiding farmers with their tremendous task of sustainably and cost-efficiently feeding the world is of utmost importance. Information technology plays a crucial role in supporting farmers and supplying them with accurate information about their crops. LÄS MER

  4. 18. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets

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

    Författare :Abdi Gobena; [2023]
    Nyckelord :Machine learning; Neural networks; Skin cancer; PAD-UFES-20; ISIC; Maskininlärning; Neuronnätverk; Hudcancer; PAD-UFES-20; ISIC;

    Sammanfattning : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. LÄS MER

  5. 19. Machine learning-assisted image analysis and metabarcoding for monitoring of plankton in the seas surrounding Sweden

    Master-uppsats, KTH/Industriell bioteknologi

    Författare :Karin Garefelt; [2023]
    Nyckelord :Imaging FlowCytobot; imaging-in-flow cytometry; plankton imaging; convolutional neural network; metabarcoding; Imaging FlowCytobot; flödesmikroskopi; övervakning av plankton; konvolutionella neuronnät; DNA-streckkodning;

    Sammanfattning : I miljöövervakningen av haven runt Sverige har manuell mikroskopi av plankton länge varit den huvudsakliga tekniken för att övervaka växtplanktonbestånden och algblomningar. Nya tekniker utvärderas, men det är inte känt hur resultaten från de nyare teknikerna relaterar till varandra. LÄS MER

  7. 20. Automation of forest road inventory using computer vision and machine learning

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Jacques de Flon; [2023]
    Nyckelord :Computer vision; Machine Learning; Image recognition; forestry; road inventory; pothole; gravel road;

    Sammanfattning : There are around 300, 000 kilometer of gravel roads throughout the Swedish countryside, used every day by common people and companies. These roads face constant wear due to harsh weather as well as from heavy traffic, and thus, regular maintenance is required to keep up the road standard. LÄS MER