Essays about: "återkallelse"

Showing result 1 - 5 of 25 essays containing the word återkallelse.

  1. 1. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ali Muquri; [2023]
    Keywords : ;

    Abstract : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. READ MORE

  2. 2. Automatic quality assessment of formed fiber products via Computer Vision and Artificial Intelligence

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jesper Sköld; [2023]
    Keywords : Artificial intelligence; Deep learning; CNN; YOLO; Computer Vision; Fiber products; Machine learning; Neural network;

    Abstract : Defects on fiber products have varied appearances and are common in production lines. A reliable system that can classify and identify defects without subjectivity and fatigue can improve a company's quality management. Computer vision systems are crucial for any autonomous system, but accuracy is essential for real-life applications. READ MORE

  3. 3. Automatic event detection oncontinuous glucose datausing neural networks

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : David Borghäll; [2023]
    Keywords : Automatic Event Detection; Continuous Glucose Monitor; Deep Learning; Diabetes Mellitus; Automatisk Eventdetektion; Kontinuerlig Glukosmätare; Djupinlärning; Diabetes;

    Abstract : Automatically detecting events for people with diabetes mellitus using continuousglucose monitors is an important step in allowing insulin pumps to automaticallycorrect the blood glucose levels and for a more hands-off approach to thedisease. The automatic detection of events could also aid physicians whenassisting their patients when referring to their continuous glucose monitordata. READ MORE

  4. 4. Drone Detection using Deep Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yating Liu; [2023]
    Keywords : Drone Detection; Real-time Tracking; Deep Learning; Computer Vision; Small Object Detection; YOLO; Drönardetektering; Realtidsspårning; Deep Learning; Computer Vision; Small Object Detection; YOLO;

    Abstract : Drone intrusions have been reported more frequently these years as drones become more accessible in the market. The abuse of drones puts threats to public and individual safety and privacy. Traditional anti-drone systems use radio-frequency sensors widely to get the position of drones. READ MORE

  5. 5. Hierarchical Clustering using Brain-like Recurrent Attractor Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Hannah Kühn; [2023]
    Keywords : Hierarchical Clustering; Attractor Network; Recurrent Neural Network; Brain-like computing; Hierarkisk klustring; Anlockningsnätverk; Återkommande neurala nätverk; Hjärnliknande databehandling;

    Abstract : Hierarchical clustering is a family of machine learning methods that has many applications, amongst other data science and data mining. This thesis belongs to the research area of brain-like computing and introduces a novel approach to hierarchical clustering using a brain-like recurrent neural network. READ MORE