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Browsing Research and Innovation Unit by Author "Luwes, N."

Browsing Research and Innovation Unit by Author "Luwes, N."

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  • A comparative study of methods for defect detection in textile fabrics 
    Nsengiyumva, P.; Vermaak, H.; Luwes, N. (Central University of Technology, Free State, Bloemfontein: Journal for New Generation Sciences, 2015)
    Fabric defect detection methods have been broadly classified into three categories; statistical methods, spectral methods and model-based methods. The performance of each method relies on the discriminative ability of ...
  • A Review of Robotics Research in South Africa 
    Boje, E.; Christopher, R.L.; Fernandes, J.; Hepworth, J.H.; Kuriakose, R.B.; Kruger, K.; Lorimer, T.; Luwes, N.; Mouton, H.D.; Patel, A.; Rosman, B.; Smit, W.J.; Stopforth, R.; Van Eden, B.; Van Niekerk, T.; Vermaak, H.; Withey, D. (R & D Journal of the South African Institution of Mechanical Engineering, 2019-11-30)
    Robots are increasingly being used in the industry. Businesses that use robots can produce products and provide services at lower costs and with higher quality. Some industries, like automotive manufacturing, have ...
  • Towards the discrimination of milk (origin) applied in cheddar cheese manufacturing through the application of an artificial neural network approach on Lactococcus lactis profiles 
    Venter, P.; Venter, T.; Luwes, N.; De Smidt, O.; Lues, J.F.R. (Journal for New Generation Sciences, Vol 11, Issue 1: Central University of Technology, Free State, Bloemfontein, 2013)
    An artificial neural network (ANN) that is able to distinguish between Cheddar cheese produced with milk from mixed and single breed sources was designed. Samples of each batch (4 pure Ayrshire/4 mixed with no Ayrshire ...

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