Machine Learning Model to Reduce the Various Defects on Die Casting Process-Reference-Cited by-同舟云学术

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Machine Learning Model to Reduce the Various Defects on Die Casting Process

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd Asian Conference on Innovation in Technology (ASIANCON)
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Author:

Jagadeesan Sowmya¹,Janardhan M.²,Singh Brijesh³,Sasank V V S⁴,Kapila Dhiraj⁵

Affiliation:

1. Vels University,Dept of BCA and IT iNurture Education Solutions,Chennai,India

2. Spring Fields Engineering College,Department of Mechanical engineering,Hyderabad,India

3. Cmr Institute Of Technology,Department of MBA,Bangalore,India

4. Koneru Lakshmaiah Education Foundation,Dept. of Computer Science and Engineering,Vaddeswaram,India

5. Lovely Professional University,Department of Computer Science & Engineering,Phagwara,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269797/10269805/10269938.pdf?arnumber=10269938

Reference9 articles.

1. Machine Learning: Supervised Algorithms to Determine the Defect in High-Precision Foundry Operation;hymavathi;Journal of Nanomaterials,2022

2. Improving Manufacturing Applications of Machine Learning by Understanding Defect Classification and the Critical Error Threshold

3. Deep generative model with time series-image encoding for manufacturing fault detection in die casting process;jiyoung;Journal of Intelligent Manufacturing,2022

4. Machine vision intelligence for product defect inspection based on deep learning and Hough transform;jinjiang;Journal of Manufacturing Systems,2019

5. Smart Diagnostic Expert System for Defect in Forging Process by Using Machine Learning Process

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