Automatic stones classification through a cnn-based approach

HIGHLIGHTS

• who: Mauro Tropea and colleagues from the Department of Informatics, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, Via PBucci, Rende, Italy have published the article: Automatic Stones Classification through a CNN-Based Approach, in the Journal: Sensors 2022, 22, 6292. of 21/08/2022
• what: The authors propose a two-stage hybrid approach based on the use of a model of Deep Learning (DL) in the case the CNN in the first stage and a model of Machine Learning (ML) in the second one. The authors show the image acquisition process to collect . . .
  

   

  

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