Defect shape classification using transfer learning in deep convolutional neural network on magneto-optical nondestructive inspection

HIGHLIGHTS

• who: I Dewa Made Oka Dharmawan and colleagues from the Department of Control, Instrumentation and Robot Engineering, Graduate School, Chosun University have published the paper: Defect Shape Classification Using Transfer Learning in Deep Convolutional Neural Network on Magneto-Optical Nondestructive Inspection, in the Journal: (JOURNAL)
• what: The current project aims to develop an efficient defect shape classification method for supporting severity inspections based on the MONDI system. The inspection in this study attempted to duplicate an actual industrial inspection inspection in thisinstudy attempteddirection to duplicate an actualthe industrial inspection process by 9 of1817 10 of . . .
  

   

  

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