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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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A Machine Learning Approach to Predict Tribological Properties of Heat-Treated Al7075/3 wt.% CNT Composites

descriptionPublicationkeyboard_double_arrow_right Other literature type 24 Dec 2025Publisher:Zenodo
Authors: BABU, SARATH;

doi: 10.5281/zenodo.18042388 , 10.5281/zenodo.18042389 , 10.5281/zenodo.17201586

A Machine Learning Approach to Predict Tribological Properties of Heat-Treated Al7075/3 wt.% CNT Composites

Abstract

Recently we have got acceptance of research article entiled" A Machine Learning Approach to Predict Tribological Properties of Heat-Treated Al7075/3 wt.% CNT Composites" in journal of tribology. All the experimentals are provided in the accepted manuscript and code made available on resaonable request to the corrosponding author. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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