Android applications classi�cation with deep neural networks

HIGHLIGHTS

  • who: Michael Asante et al. from the Kwame Nkrumah of Science and have published the research work: Android Applications Classiufffdcation with Deep Neural Networks, in the Journal: (JOURNAL)
  • what: The work proposes an Android application categorization model based on supervised deep neural_network classifier to address the shortcomings of current mobile application classification technologies, fully learn the characteristics of mobile operating systems applications, and enhance the accuracy of android application classification. The authors provide an overview of DBN and discuss how the authors built the DBN model using the Tensorflow library. The aim of this study . . .

     

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