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Thomas Auerbach

1 paper hereh-index 9370 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedAn Acoustical Machine Learning Approach to Determine Abrasive Belt Wear of Wide Belt Sanders

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

eess.AS2022★ 4 cited

An Acoustical Machine Learning Approach to Determine Abrasive Belt Wear of Wide Belt Sanders

Maximilian Bundscherer, Thomas H. Schmitt, Sebastian Bayerl +2

This paper describes a machine learning approach to determine the abrasive belt wear of wide belt sanders used in industrial processes based on acoustic data, regardless of the san…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.