Essays about: "ensemble"
Showing result 16 - 20 of 298 essays containing the word ensemble.
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16. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE
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17. Deep learning-based segmentation of anatomical structures in MR images
University essay from Linköpings universitet/Avdelningen för medicinsk teknikAbstract : Magnetic resonance imaging (MRI) is a powerful imaging tool for diagnostics, which AMRA uses to segment and quantify certain anatomical regions. This thesis investigate the possibilities of using deep learning for the particular task of AMRAs segmentation, both for ordinary regions (fat and muscle regions) and injured muscles. READ MORE
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18. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS
University essay from KTH/Tillämpad fysikAbstract : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. READ MORE
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19. WSA-ENLIL + Cone ensemble modeling of an Earth-directed ICME : Comparison with in-situ observations by Solar Orbiter and WIND at L1
University essay from Uppsala universitet/Institutionen för fysik och astronomi; Uppsala universitet/Institutet för rymdfysik, UppsalaavdelningenAbstract : Coronal mass ejections (CMEs) are considered the most energetic phenomenon in the heliosphere. Originated in the solar corona, they are formed by ejected plasma driven by strong magnetic fields. READ MORE
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20. Predicting Breakdowns in Transportation Vehicles using Supervised Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. READ MORE
