Now showing items 1-3 of 3

    • 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 ...
    • 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 ...
    • The time dependent solvent extraction of Ta and Nb 

      Van der Westhuizen, Derik J.; De Beer, Leon; Ungerer, Marietjie J.; Krieg, Henning M. (Trans Tech Publications, 2014)
      The suitability of Liquid-liquid extraction (LLE) for the selective extraction of chemically similar tantalum (Ta) and niobium (Nb) mixtures was investigated by determining the influence of the acid concentration, extractant ...