%0 Conference Paper %1 conf/icarm/ChanC17 %A Chan, Teck Kai %A Chin, Cheng Siong %B ICARM %D 2017 %I IEEE %K dblp %P 328-333 %T Proposed framework for multi-level extreme machine learning for underwater thruster's fault classification using YIN fundamental frequency estimator and pitch sound. %U http://dblp.uni-trier.de/db/conf/icarm/icarm2017.html#ChanC17 %@ 978-1-5386-3260-4

@inproceedings{conf/icarm/ChanC17, added-at = {2019-10-31T00:00:00.000+0100}, author = {Chan, Teck Kai and Chin, Cheng Siong}, biburl = {https://www.bibsonomy.org/bibtex/29e7759d467576fed368f34ad0ec0bc0a/dblp}, booktitle = {ICARM}, crossref = {conf/icarm/2017}, ee = {https://doi.org/10.1109/ICARM.2017.8273183}, interhash = {6e0eec134b86956c140212f0573cd800}, intrahash = {9e7759d467576fed368f34ad0ec0bc0a}, isbn = {978-1-5386-3260-4}, keywords = {dblp}, pages = {328-333}, publisher = {IEEE}, timestamp = {2019-11-01T11:46:20.000+0100}, title = {Proposed framework for multi-level extreme machine learning for underwater thruster's fault classification using YIN fundamental frequency estimator and pitch sound.}, url = {http://dblp.uni-trier.de/db/conf/icarm/icarm2017.html#ChanC17}, year = 2017 }