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Improved Ultrasonic Dead Zone Detectability of Work Rolls Using a Convolutional Neural Network.

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Title: Improved Ultrasonic Dead Zone Detectability of Work Rolls Using a Convolutional Neural Network.
Authors: Yeom, Yun-Taek1, ytyeom@skku.edu, Kim, Hun-Hee2, hunhee1.kim@doosan.com, Park, Jinhyun1, bingsu09@skku.edu, Kim, Hak-Joon1, hjkim21c@skku.edusjsong@skku.edu, Song, Sung-Jin1
Source: Applied Sciences (2076-3417); May2022, Vol. 12 Issue 10, p5009, 12p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Improved Ultrasonic Dead Zone Detectability of Work Rolls Using a Convolutional Neural Network.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=157129622
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        Value: 10.3390/app12105009
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      – Code: eng
        Text: English
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      – TitleFull: Improved Ultrasonic Dead Zone Detectability of Work Rolls Using a Convolutional Neural Network.
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              M: 05
              Text: May2022
              Type: published
              Y: 2022
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