Essays about: "konstruerat"
Showing result 6 - 10 of 65 essays containing the word konstruerat.
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6. Precipitation Nowcasting using Deep Neural Networks
University essay from KTH/FysikAbstract : Deep neural networks (DNNs) based on satellite and radar data have shown promising results for precipitation nowcasting, beating physical models and optical flow for time horizons up to 8 hours. “MetNet”, developed by Google AI, is a 225 million parameter DNN combining three different types of architectures that was trained on satellite and radar data over the United States. READ MORE
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7. Gas in Scattering Media Absorption Spectroscopy in Large Geometries: Towards Monitoring Oxygen in Adult Lungs
University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionenAbstract : GAs in Scattering Media Absorption Spectroscopy (GASMAS) is a technique to study free gas inside strongly scattering bulk-materials. GASMAS is successful in safely measuring oxygen in lungs of neonates, with low-power tuneable diode-laser spectroscopy at 760 nm. READ MORE
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8. Feasibility Study of Implementation of Machine Learning Models on Card Transactions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Several studies have been conducted within machine learning, and various variations have been applied to a wide spectrum of other fields. However, a thorough feasibility study within the payment processing industry using machine learning classifier algorithms is yet to be explored. READ MORE
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9. Real-Time Video Super-Resolution : A Comparative Study of Interpolation and Deep Learning Approaches to Upsampling Real-Time Video
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Super-resolution is a subfield of computer vision centered around upsampling low-resolution images to a corresponding high-resolution counterpart. This degree project investigates the suitability of a deep learning method for real-time video super-resolution. READ MORE
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10. Analysis of Eye Tracking Data from Parkinson’s Patients using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Parkinson’s disease is a brain disorder associated with reduced dopamine levels in the brain, affecting cognition and motor control in the human brain. One of the motor controls that can be affected is eye movements and can therefore be critically affected in patients with Parkinson’s disease. READ MORE