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Showing result 1 - 5 of 57 essays matching the above criteria.
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1. Exploring Greenhouse Gas Emissions and socio-economic factors for climate change mitigation: A worldwide clustering analysis
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : In response to the pressing need to address climate change and reduce global greenhouse gas (GHG) emissions, this study implemented Gaussian Mixture Models Clustering to detect the levels of GHG emissions and related socio-economic factors in 174 countries. To handle the panel data, Principal Component Analysis was conducted to achieve dimension reduction. READ MORE
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2. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices
University essay from Lunds universitet/Matematisk statistikAbstract : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. READ MORE
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3. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. READ MORE
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4. Multidimensional Classification of Radar Signals : A comparison between unidimensional and multidimensional classification models for pulsed radar signals
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Radar is a technique used by many different types of remote sensing systems to keep track of their surroundings. The transmitted radar signals may carry information that could be used to infer the type of transmitter. Multiple papers have investigated the classification of pulse repetition intervals produced by radar systems. READ MORE
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5. Latent Data-Structures for Complex State Representation : A Steppingstone to Generating Synthetic 5G RAN data using Deep Learning
University essay from Uppsala universitet/HögenergifysikAbstract : The aim of this thesis is to investigate the feasibility of applying generative deep learning models on data related to 5G Radio Access Networks (5GRAN). Simulated data is used in order to develop the generative models, and this project serves as a proof of concept for further applications on real data. READ MORE