Browsing Workspace (UPSpace) by UP Author "Pillay, Nelishia"

Browsing Workspace (UPSpace) by UP Author "Pillay, Nelishia"

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  • Automated design of the deep neural network pipeline 
    Gerber, Mia; Pillay, Nelishia (MDPI, 2022-11-29)
    Deep neural networks have proven to be effective in various domains, especially in natural language processing and image processing. However, one of the challenges associated with using deep neural networks includes the ...
  • Deep learning diagnostics of gray leaf spot in maize under mixed disease field conditions 
    Craze, Hamish A.; Pillay, Nelishia; Joubert, Fourie; Berger, David Kenneth (MDPI, 2022-07-26)
    Maize yields worldwide are limited by foliar diseases that could be fungal, oomycete, bacterial, or viral in origin. Correct disease identification is critical for farmers to apply the correct control measures, such as ...
  • Dynamic heuristic set selection for cross-domain selection hyper-heuristics 
    Hassan, Ahmed; Pillay, Nelishia (Springer, 2021-11)
    Selection hyper-heuristics have proven to be effective in solving various real-world problems. Hyper-heuristics differ from traditional heuristic approaches in that they explore a heuristic space rather than a solution ...
  • A study of ant-based pheromone spaces for generation constructive hyper-heuristics 
    Singh, Emilio; Pillay, Nelishia (Elsevier, 2022-07)
    Research into the applicability of ant-based optimisation techniques for hyper-heuristics is largely limited. This paper expands upon the existing body of research by presenting a novel ant-based generation constructive ...
  • Supplementary-architecture weight-optimization neural networks 
    O’Reilly, Jared; Pillay, Nelishia (Springer, 2022-07)
    Research efforts in the improvement of artificial neural networks have provided significant enhancements in learning ability, either through manual improvement by researchers or through automated design by other artificial ...