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Papers: 10.1371/journal.pone.0257850

https://doi.org/10.1371/journal.pone.0257850

Optimization of running-in surface morphology parameters based on the AutoML model

Cited by: 0
Author(s): Guangyuan Ge, Fenfen Liu, Gengpei Zhang
Published: almost 4 years ago

Software Mentions 2

pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: TPOT
Tree-based Pipeline Optimization Tool
Papers that mentioned: 33
Very Likely Science (100)