Crack Localization Detection in Monolithic Zirconia Dental Crowns via 1D-Convolutional Neural Networks Algorithm-Based Acoustic Emission Analysis-Reference-Cited by-同舟云学术

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Crack Localization Detection in Monolithic Zirconia Dental Crowns via 1D-Convolutional Neural Networks Algorithm-Based Acoustic Emission Analysis

Published:2024-05-01 Issue: Volume: Page:53-56
ISSN:
Container-title:2024 10th International Conference on Engineering, Applied Sciences, and Technology (ICEAST)
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Author:

Tuntiwong Kuson¹,Wangman Rangsinee²,Sritart Hiranya³,Kanchanatawewat Kanchana¹,Tungjitkusolmun Supan²,Phasukkit Pattarapong²

Affiliation:

1. King Mongkut’s Institute of Technology,School of Dentistry,Ladkrabang,Bangkok,Thailand

2. King Mongkut’s Institute of Technology,School of Engineering,Department of Biomedical Engineering,Ladkrabang,Bangkok,Thailand

3. Thammasat University,Faculty of Allied Health Science,Department of Medical Technology,Pathumthani,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553375/10553651/10553960.pdf?arnumber=10553960

Reference9 articles.

1. CAD/CAM-machining effects on Y-TZP zirconia

2. Dental Ceramics for Restoration and Metal Veneering

3. Current ceramic materials and systems with clinical recommendations: A systematic review

4. Fractographic analysis of 35 clinically fractured bi-layered and monolithic zirconia crowns

5. Fracture rate of 188695 lithium disilicate and zirconia ceramic restorations after up to 7.5 years of clinical service: A dental laboratory survey

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