Retracted: Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625

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Bibliographic Details
Main Author: Advances in Materials Science and Engineering
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2023/9812703
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author Advances in Materials Science and Engineering
author_facet Advances in Materials Science and Engineering
author_sort Advances in Materials Science and Engineering
collection DOAJ
format Article
id doaj-art-8178fca2754243bca5f272a3f66bae17
institution OA Journals
issn 1687-8442
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Advances in Materials Science and Engineering
spelling doaj-art-8178fca2754243bca5f272a3f66bae172025-08-20T02:08:27ZengWileyAdvances in Materials Science and Engineering1687-84422023-01-01202310.1155/2023/9812703Retracted: Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625Advances in Materials Science and Engineeringhttp://dx.doi.org/10.1155/2023/9812703
spellingShingle Advances in Materials Science and Engineering
Retracted: Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625
Advances in Materials Science and Engineering
title Retracted: Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625
title_full Retracted: Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625
title_fullStr Retracted: Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625
title_full_unstemmed Retracted: Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625
title_short Retracted: Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625
title_sort retracted machine learning approach prediction of surface roughness in dry turning inconel 625
url http://dx.doi.org/10.1155/2023/9812703
work_keys_str_mv AT advancesinmaterialsscienceandengineering retractedmachinelearningapproachpredictionofsurfaceroughnessindryturninginconel625