Browsing Conference Papers - Potchefstroom Campus by Subject "Machine learning algorithms"
Now showing items 1-2 of 2
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Classifying bent radio galaxies from a mixture of point-like/extended images with machine learning
(IEEE, 2016)The hypothesis that bent radio sources are supposed to be found in rich, massive galaxy clusters and the avalibility of huge amount of data from radio surveys have fueled our motivation to use Machine Learning (ML) to ... -
Radio frequency interference detection using machine learning
(IEEE, 2016)Radio frequency interference (RFI) has plagued radio astronomy which potentially might be as bad or worse by the time the Square Kilometre Array (SKA) comes up. RFI can be either internal (generated by instruments) or ...