INVESTIGATION ON THE EFFECTS OF HUMIDITY AND HEAT OF COMBINED PAPERS ON QUALITY OF CORRUGATEDBOARD


Defect Shape Classification Using Transfer Learning in Deep Convolutional Neural Network on Magneto-Optical Nondestructive Inspection

To implement a magneto-optic (MO) nondestructive inspection (MONDI) system for robot-based nondestructive inspections, quantitative evaluations of the presence, locations, shapes, and sizes of defects are required.This capability is essential for training autonomous nondestructive testing (NDT) devices to track material defects and evaluate their s

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