Essays about: "Training vendors"
Showing result 1 - 5 of 9 essays containing the words Training vendors.
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1. Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
University essay from Lunds universitet/Matematik LTHAbstract : Semantic segmentation of medical images is an important task with many applications. However, manually delineating 3D images is time-consuming and the demand for automation is high. For many image segmentation tasks, deep learning has provided state-of-the-art results. READ MORE
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2. Finding anomalies in software licensing logs using unsupervised methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cryptolens is world leading software licensing platform. As a result, it has large amounts of data that is generated when each end user application at- tempts to verify a license key. READ MORE
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3. Innovation in firefighting equipment diffusion - A qualitative study about new technology adoption in Swedish fire brigades
University essay from Göteborgs universitet/Graduate SchoolAbstract : The continuous innovation and diffusion of fire fighting technologies has always been improving the speed and efficiency of fire fighting. The users of these technologies are qualified and passionate men and women who are dedicated to the well being of others. READ MORE
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4. Wasted Potential : Potential of a food waste prevention model for the São Paulo street markets - A minor field study
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : In the municipal kitchens of Gothenburg, the implementation of the Gothenburg Model for reduced food waste has resulted in reducing the food waste by half in two years. The objective of this study is to contribute in the work of food waste prevention at the street markets in São Paulo by investigating how a model like the Gothenburg Model could be created and implemented. READ MORE
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5. Data Augmentation to Increase Multi-Site Robustness for Convolutional Neural Networks - A case study on MRI segmentation of target and organs at risk for prostate cancer
University essay from Lunds universitet/Matematisk statistikAbstract : Organ segmentation on magnetic resonance (MR) images for dose planning on cancer patients is a time consuming process that can be automatized by using convolutional neural networks (CNNs). MR images vary greatly in characteristics across acquisition sites, which affects CNN segmentation performance. READ MORE