Deep Learning-based Automatic 3D Printer Anomaly Detection during the Printing Process-Reference-Cited by-同舟云学术

Deep Learning-based Automatic 3D Printer Anomaly Detection during the Printing Process

Published:2022-10-20 Issue: Volume: Page:
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Container-title:2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Lalitha T.¹,Anushkannan N.K²,Shreepad Sarange³,Sasireka S.⁴,Anandaram Harishchander⁵,Razia Shaik⁶

Affiliation:

1. Vellore Institute of Technology,Department of Computer Science and Engineering,Vellore,Tamil Nadu,India,632014

2. Kathir College of Engineering,Department of Electronics and Communication Engineering,Coimbatore,Tamil Nadu,India,641062

3. Ajeenkya DY Patil School of Engineering,Department of Mechanical,Pune,Maharashtra,India,412105

4. Sri Eshwar College of Engineering,Department of Computer Science and Business Systems,Coimbatore,Tamil Nadu,India,641202

5. Amrita VishwaVidyapeetham,Centre for Excellence in Computational Engineering and Networking,Coimbatore,Tamil Nadu,India,641112

6. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaddeswaram,Andhra Pradesh,India,522302

Publisher

IEEE

Link

Reference16 articles.

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