DETECTING AND MEASURING DEFECTS IN WAFER DIE USING GAN AND YOLOV3

Detecting and Measuring Defects in Wafer Die Using GAN and YOLOv3

This research used deep learning methods to develop a set of algorithms to detect die particle defects.Generative adversarial network (GAN) generated natural and realistic images, which improved the ability of you only look once version 3 (YOLOv3) to detect die Shock defects.Then defects were measured based on the bounding boxes predicted by YOLOv3

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Correlation Between Knee Muscle Strength and Maximal Cycling Speed Measured Using 3D Depth Camera in Virtual Reality Environment

Background: Virtual reality (VR) programs based on motion capture camera are the most convenient and cost-effective approaches for remote rehabilitation.Assessment of physical function Queen Coverlet Set is critical for providing optimal VR rehabilitation training; however, direct muscle strength measurement using camera-based kinematic data is imp

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Volcanic ash as fertiliser for the surface ocean

Iron is a key limiting micro-nutrient for marine primary productivity.It can be supplied to the ocean by atmospheric dust deposition.Volcanic ash deposition into the ocean represents another external and Queen Coverlet Set so far largely neglected source of iron.This study demonstrates strong evidence for natural fertilisation in the iron-limited o

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