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Visar resultat 1 - 5 av 19 uppsatser som matchar ovanstående sökkriterier.

  1. 1. The effect of the hyperparameters of an RBF SVM on classifying pneumonia

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Rikaz Nismi; Alfred Hoflin; [2022]
    Nyckelord :;

    Sammanfattning : Pneumonia is a deadly disease if gone untreated. In order to treat it, first it has to be discovered, which can be done by examining patterns of chest X-ray images. This process can be done by human experts but there is also a desire to make it more efficient by utilizing machine learning. LÄS MER

  3. 2. Detection of Pests in Agriculture Using Machine Learning

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Emma Olsson; [2022]
    Nyckelord :machine learning; svm; sliding window; mask r-cnn; yolov5;

    Sammanfattning : Pest inventory of a field is a way of knowing when the thresholds for pest controlis reached. It is of increasing interest to use machine learning to automate thisprocess, however, many challenges arise with detection of small insects both intraps and on plants. LÄS MER

  4. 3. Histogram of Oriented Gradients in a Vision Transformer

    Kandidat-uppsats, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Jakob Malmsten; Heja Cengiz; David Lood; [2022]
    Nyckelord :vision transformer; vit; histogram of oriented gradients; hog; ai; machine learning; artificial intelligence; MNIST;

    Sammanfattning : This study aims to modify Vision Transformer (ViT) to achieve higher accuracy. ViT is a model used in computer vision to, among other things, classify images. By applying ViT to the MNIST data set, an accuracy of approximately 98% is achieved. LÄS MER

  5. 4. VISUAL DETECTION OF PERSONAL PROTECTIVE EQUIPMENT & SAFETY GEAR ON INDUSTRY WORKERS

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fredrik Strand; Jonathan Karlsson; [2022]
    Nyckelord :Machine learning; yolo; yolov4; cnn; ppe; personal protective equipment; object detection; computer vision; deep learning; artificial intelligence; ai; real-time object detection; real-time; safety; construction; workers; industry; face recognition;

    Sammanfattning : Workplace injuries are common in today's society due to a lack of adequately worn safety equipment. A system that only admits appropriately equipped personnel can be created to improve working conditions and worker safety. The goal is thus to develop a system that will improve construction workers' safety. LÄS MER

  7. 5. Tracking Under Countermeasures Using Infrared Imagery

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Sara Modorato; [2022]
    Nyckelord :computer vision; infrared imagery; tracking; countermeasures; discriminative correlation filters; Efficient Convolution Operator tracker; Spatial-Temporal Regularized Correlation Filter tracker; Visual Object Tracking; flare; DIRCM; multiple wavelength bands; features;

    Sammanfattning : Object tracking can be done in numerous ways, where the goal is to track a target through all frames in a sequence. The ground truth bounding box is used to initialize the object tracking algorithm. Object tracking can be carried out on infrared imagery suitable for military applications to execute tracking even without illumination. LÄS MER