Search Results - "supervised machine learning classification algorithms"

Acoustic Sensing and Supervised Machine Learning for In Situ Classification of Semi-Autogenous (SAG) Mill Feed Size Fractions Using Different Feature Extraction Techniques

Authors: Kwaku Boateng Owusu William Skinner Richmond K. Asamoah et al.

Contributors: Kwaku Boateng Owusu William Skinner Richmond K. Asamoah et al.

Source: Powders, Vol 2, Iss 2, Pp 299-322 (2023)
Powders; Volume 2; Issue 2; Pages: 299-322

Subject Terms: Chemistry, acoustic sensing, 0205 materials engineering, supervised machine learning classification algorithms, semi-autogenous mill, feature extraction, mill feed size fraction, 0211 other engineering and technologies, 02 engineering and technology, QD1-999

File Description: application/pdf

Access URL: https://doaj.org/article/a6432784a7ba4e6abefbacdc6e991d87
https://hdl.handle.net/11541.2/33942