Essays about: "shallow learning"
Showing result 1 - 5 of 22 essays containing the words shallow learning.
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1. Drone Detection using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Drone intrusions have been reported more frequently these years as drones become more accessible in the market. The abuse of drones puts threats to public and individual safety and privacy. Traditional anti-drone systems use radio-frequency sensors widely to get the position of drones. READ MORE
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2. Deep Ring Artifact Reduction in Photon-Counting CT
University essay from KTH/FysikAbstract : Ring artifacts are a common problem with the use of photon-counting detectors and commercial deployment rests on being able to compensate for them. Deep learning has been proposed as a candidate for tackling the inefficiency or high cost of traditional techniques. READ MORE
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3. Computer Vision for Document Image Analysis and Text Extraction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Automatic document processing has been a subject of interest in the industry for the past few years, especially with the recent technological advances in Machine Learning and Computer Vision. This project investigates in-depth a major component used in Document Image Processing known as Optical Character Recognition (OCR). READ MORE
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4. Estimation of Water Depth from Multispectral Drone Imagery : A suitability assessment of CNN models for bathymetry retrieval in shallow water areas
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Aedes aegypti and Aedes albopictus are the main vector species for dengue disease and zika, two arboviruses that affect a substantial fraction of the global population. These mosquitoes breed in very slow-moving or standing pools of water, so detecting and managing these potential breeding habitats is a crucial step in preventing the spread of these diseases. READ MORE
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5. Combining Register Data and X-Ray Images for a Precision Medicine Prediction Model of Thigh Bone Fractures
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : The purpose of this master thesis was to investigate if using both X-ray images and patient's register data could increase the performance of a neural network in discrimination of two types of fractures in the thigh bone, called atypical femoral fractures (AFF) and normal femoral fractures (NFF). We also examined and evaluated how the fusion of the two data types could be done and how different types of fusion affect the performance. READ MORE