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20192022
most citedToward Enabling a Reliable Quality Monitoring System for Additive Manufacturing Process using Deep Convolutional Neural Networks

13 citations · 29 across the 3 of their papers we have counts for

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cs.CV2020★ 13 cited

Toward Enabling a Reliable Quality Monitoring System for Additive Manufacturing Process using Deep Convolutional Neural Networks

Yaser Banadaki, Nariman Razaviarab, Hadi Fekrmandi +1

Additive Manufacturing (AM) is a crucial component of the smart industry. In this paper, we propose an automated quality grading system for the AM process using a deep convolutiona…