Iaes international journal of artificial intelligence (ij-ai)

HIGHLIGHTS

• who: IJ-AI from the School of Digital Science, Universiti have published the research: IAES International Journal of Artificial Intelligence (IJ-AI), in the Journal: (JOURNAL) of Aug/22,/2021
• what: Convolutional networks are prone to adversarial attacks, which present a challenge to safety-critical domains where calibrated, robust, and efficient measures of data uncertainty are crucial.
• how: This paper proposes a data-centric approach to addressing this problem. In this paper three values of h were considered h u2208 {3 5 15} representing the values of small medium and large luminance/color . . .
  

   

  

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