Essays about: "compressed sensing"
Showing result 1 - 5 of 15 essays containing the words compressed sensing.
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1. Over-the-Air Federated Learning with Compressed Sensing
University essay from Linköpings universitet/KommunikationssystemAbstract : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). READ MORE
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2. Reconstruction of Accelerated Cardiovascular MRI data
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Magnetic resonance imaging (MRI), is a noninvasive medical imaging testing techniquewhich is used to produce detailed images of internal structure of the human body, includingbones, muscles, organs, and blood vessels. MRI scanners use large magnets and radiowaves to create images of the body. READ MORE
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3. LDPC DropConnect
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. READ MORE
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4. Reconstruction of Hyperspectral Images Using Generative Adversarial Networks
University essay from Linköpings universitet/ReglerteknikAbstract : Fast detection and identification of unknown substances is an area of interest for many parties. Raman spectroscopy is a laser-based method allowing for long range no contact investigation of substances. READ MORE
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5. Reduction of streak artifacts in radial MRI using CycleGAN
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : One way of reducing the examination time in magnetic resonance imaging (MRI) is to reduce the amount of raw data acquired, by performing so-called undersampling. Conventionally, MRI data is acquired line-by-line on a Cartesian grid. READ MORE