Real-Time Defect Detection in 3D Printing Using Deep Learning-Reference-Cited by-同舟云学术

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Real-Time Defect Detection in 3D Printing Using Deep Learning

Published:2024-04-05 Issue: Volume:21 Page:1-6
ISSN:
Container-title:2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
language:
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Author:

Shivajirao Pawde Shraddha¹,Shailaja Patil¹,Snehal Bhosale²

Affiliation:

1. JSPM Rajarshi Shahu College Of Engineering,Dept. of Electronics and Telecommunication,Pune,India

2. Symbiosis Institute of Technology, Symbiosis International (Deemed University) (SIU) Lavale,Department of Electronics and Tele-Communication,Pune,Maharashtra,India,412115

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543249/10543223/10543771.pdf?arnumber=10543771

Reference32 articles.

1. 3D Printing and Shaping Polymers, Composites, and Nanocomposites: A Review

2. 3D printing – A review of processes, materials and applications in industry 4.0

3. Additive manufacturing: Current status and prospects;Bhattacharjya,2014

4. 3D printing applications for healthcare research and development

5. Reducing Computer Visualization Errors for In-Process Monitoring of Additive Manufacturing Systems Using Smart Lighting And Colorization System;Engle

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