Machine Learning and Statistical Approach to Predict and Analyze Wear Rates in Copper Surface Composites
Crossref DOI link: https://doi.org/10.1007/s12540-020-00809-3
Published Online: 2020-07-16
Published Print: 2021-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Thankachan, Titus
Soorya Prakash, K.
Kavimani, V.
Silambarasan, S. R.
Text and Data Mining valid from 2020-07-16
Version of Record valid from 2020-07-16
Article History
Received: 11 February 2020
Accepted: 22 June 2020
First Online: 16 July 2020