Browsing Conference Papers - Potchefstroom Campus by Subject "Training"
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 ... -
Machine learning for radio frequency interference mitigation using polarization
(IEEE, 2017)Radio frequency interference (RFI) is electromagnetic interference (EMI) from signals in the radio frequencies of the electromagnetic spectrum. RFI reduces the sensitivity of radio telescope and produces artefacts in ...