Browsing Conference Papers - Potchefstroom Campus by Author "eb004d9e-ce06-4278-9e62-8e5ea3dce842"
Now showing items 1-3 of 3
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Classifying bent radio galaxies from a mixture of point-like/extended images with machine learning
Bastien, David; Oozeer, Nadeem; Somanah, Radhakrishna (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
Mosiane, Olorato; Oozeer, Nadeem; Bassett, Bruce A. (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 ... -
Radio frequency interference detection using machine learning
Mosiane, Olorato; Oozeer, Nadeem; Bassett, Bruce A. (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 ...