Essays about: "VGG19"
Showing result 1 - 5 of 10 essays containing the word VGG19.
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1. Ultrasound neural style transfer using domain specific features
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Ultrasound imaging is a widely used fast, low-cost, and non-invasive modality for monitoringfetal development during pregnancy and identifying potential problems or other injuries.However, interpreting the images may be difficult due to the noisy appearance and requiresextensive training of sonographers. READ MORE
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2. 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)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
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3. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. READ MORE
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4. Deep Learning-Based Approach for Fusing Satellite Imagery and Historical Data for Advanced Traffic Accident Severity
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. This research centers on tackling the serious global problem of trafficaccidents. With more than a million deaths each year and numerous injuries, it’svital to predict and prevent these accidents. READ MORE
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5. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity
University essay from Uppsala universitet/Signaler och systemAbstract : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. READ MORE
