Essays about: "dark networks"
Showing result 1 - 5 of 19 essays containing the words dark networks.
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1. 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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2. Mono-X signal characterisation from two-component DarkMatter using Neural Networks
University essay from Uppsala universitet/HögenergifysikAbstract : In the recent decade, neural networks have become one of the leading tools in the search for the elusive nature of dark matter and its interactions through the analysis of numerically simulated data. This project introduces a minimal dark sector consisting of three additional fields and studies it through two mono-X signatures,mono-jet and mono-Z. READ MORE
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3. Particle Detection in Bone Marrow Using CNNs and Transformer Networks
University essay from Lunds universitet/Matematik LTHAbstract : The critical role of hematological stem cells, concentrated in bone marrow, in disease diagnosis makes the detection of these cells an imperative task. The current process, however, is slow and heavily reliant on expert interpretation, underscoring the need for automation. READ MORE
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4. Exploring the determinants of purchasing behavior in the context of safety apparel : A study of safety marketing
University essay from Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknikAbstract : The rapid growth and development of cities have brought new mobility challenges, which the emergence of micro-mobility solutions, such as Personal Mobility Vehicles, has addressed. However, the increase in the use of these vehicles has also led to a rise in the number of accidents and injuries due to the inadequate use of protective equipment. READ MORE
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5. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. READ MORE