Essays about: "Deep Learning DL"
Showing result 6 - 10 of 40 essays containing the words Deep Learning DL.
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6. Rogue Drone Detection
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Rogue drones have become a significant concern in recent years due to their potential to cause harm to people and property and disrupt critical infrastructure and public safety. As a result, there has been a growing need for effective methods to detect and mitigate the risks posed by these drones. READ MORE
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7. Dark Matter signals at the Large Hadron Collider with Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : While holding a firm position in popular culture and science fiction, Dark Matter (DM) is nonetheless a highly relevant topic at the forefront of modern particle physics. We study the applicability of characterizing DM particle candidates SUSY neutralino and sneutrino using Deep Learning (DL) methods. READ MORE
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8. Deep Learning Based Detection, Quantification, and Subdivision of White Matter Hyperintensities in Brain MRI
University essay from Uppsala universitet/Avdelningen Vi3Abstract : White matter hyperintensities (WMH) are commonly found as bright regions in brain MRI images in older individuals. They are associated with various neurological and vascular diseases, such as stroke, dementia, and cardiovascular disorders. READ MORE
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9. A Comparison of Advanced DeepLearning Algorithms for Multi-digit Detection in Historical Documents
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Historical handwritten documents are assets for future generations and should be appropriately secured, so handwritten digit detection plays an important role to preserve them. Handwritten digit detection is a fundamental problem and has been studied extensively for many years. READ MORE
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10. Evaluation of Computer Tomography based Cancer Diagnostics with the help of 3D Printed Phantoms and Deep Learning
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : Computed x-ray tomography is one of the most common medical imaging modalities andas such ways of improving the images are of high relevance. Applying deep learningmethods to denoise CT images has been of particular interest in recent years. READ MORE