Essays about: "Input parameters"
Showing result 11 - 15 of 767 essays containing the words Input parameters.
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11. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments
University essay from Uppsala universitet/Institutionen för fysik och astronomiAbstract : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. READ MORE
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12. Simulating metal ct artefacts for ground truth generation in deep learning.
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. READ MORE
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13. Improved Modelling For Oxidation Of Zircalloy Fuel Cladding Tubes In PWRs
University essay from KTH/FysikAbstract : The fuel cladding is an essential component in the defence-in-depth strategy for nuclear safety. Its integrity and durability are therefore critical for maintaining acceptable safety conditions. However, the integrity of the cladding can be compromised during normal operation due to corrosion and hydriding. READ MORE
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14. Antenna Arrays for Dual-Frequency Harmonic Radar Application
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The aim of this thesis is to design two patch antenna arrays for dual-frequency harmonic radar application, one for the transmitter and the other for the receiver. The arrays are used to track the Bogong moth that migrates from the countryside to the Australian Alps during spring. READ MORE
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15. Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Likelihood-free parameter inference is a well-known statistical methodology that estimates the posterior distribution of model parameters even in cases where the likelihood function is intractable. The performance of this method is highly correlated with the learning of summary statistics, which capture the key features from the high dimensional data such as time series. READ MORE