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Visar resultat 1 - 5 av 75 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Real time Optical  Character Recognition  in  steel  bars  using YOLOV5

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Monica Gattupalli; [2023]
    Nyckelord :Deep learning; Object detection; Tesseract OCR; YOLOV5; YOLOV5- obb;

    Sammanfattning : Background.Identifying the quality of the products in the manufacturing industry is a challenging task. Manufacturers use needles to print unique numbers on the products to differentiate between good and bad quality products. However, identi- fying these needle printed characters can be difficult. LÄS MER

  3. 2. Establishing novel approaches for assessing safety of genome-editing-based therapeutics

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Noorul Shaheen Sheikh Farid; [2023]
    Nyckelord :;

    Sammanfattning : Genome editing based medicines are a new therapeutic modality being developed. They show great promise for a spectrum of genetic diseases lacking conventional treatment strategies. A major obstacle that prevents such therapies to reach the clinic is their safety. LÄS MER

  4. 3. Self-learning for 3D segmentation of medical images from single and few-slice annotation

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

    Författare :Côme Lassarat; [2023]
    Nyckelord :Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

    Sammanfattning : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. LÄS MER

  5. 4. EXTRACTING REGIONS OF INTEREST AND DETECTING OUTLIERS FROM IMAGE DATA

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

    Författare :Jessica Ström; Erik Backhans; [2023]
    Nyckelord :Artificial Intelligence AI ; Machine Vision; Outlier Detection; Autoencoders; Neural Networks; Region Of Interest ROI ;

    Sammanfattning : Volvo Construction Equipment (CE) are facing the challenge of vibrations in their wheel loaders that generate disruptive noise and impact the driver's experience. These vibrations have been linked to the contact surface between the crown wheel and pinion gear in the vehicles drive-axles. LÄS MER

  7. 5. Approximating Damping Coefficient of Bolted Joints using the Finite Element Method

    Master-uppsats, KTH/Hållfasthetslära

    Författare :Abhiroop Chatterjee; [2023]
    Nyckelord :;

    Sammanfattning : Bolted joints are important due to their energy dissipation property in structures,but the damping mechanism is also highly nonlinear and localized. The goal ofthis thesis is to develop an accurate method for modeling bolted joint dampingin large structures using finite element (FE) software. LÄS MER