%0 Conference Paper %1 conf/ieeesensors/BundschererSBAB22 %A Bundscherer, Maximilian %A Schmitt, Thomas H. %A Bayerl, Sebastian P. %A Auerbach, Thomas %A Bocklet, Tobias %B IEEE SENSORS %D 2022 %I IEEE %K dblp %P 1-4 %T An Acoustical Machine Learning Approach to Determine Abrasive Belt Wear of Wide Belt Sanders. %U http://dblp.uni-trier.de/db/conf/ieeesensors/ieeesensors2022.html#BundschererSBAB22 %@ 978-1-6654-8464-0

@inproceedings{conf/ieeesensors/BundschererSBAB22, added-at = {2022-12-13T00:00:00.000+0100}, author = {Bundscherer, Maximilian and Schmitt, Thomas H. and Bayerl, Sebastian P. and Auerbach, Thomas and Bocklet, Tobias}, biburl = {https://www.bibsonomy.org/bibtex/20addf16b182f07693351c3df44607e50/dblp}, booktitle = {IEEE SENSORS}, crossref = {conf/ieeesensors/2022}, ee = {https://doi.org/10.1109/SENSORS52175.2022.9967324}, interhash = {03d7387b11bdc3ce14a8dd962c348bf5}, intrahash = {0addf16b182f07693351c3df44607e50}, isbn = {978-1-6654-8464-0}, keywords = {dblp}, pages = {1-4}, publisher = {IEEE}, timestamp = {2024-04-09T12:38:40.000+0200}, title = {An Acoustical Machine Learning Approach to Determine Abrasive Belt Wear of Wide Belt Sanders.}, url = {http://dblp.uni-trier.de/db/conf/ieeesensors/ieeesensors2022.html#BundschererSBAB22}, year = 2022 }