Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet
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سال
: 2014شناسه الکترونیک: 10.1109/I4CT.2014.6914180
کلیدواژه(گان): Authentication,n Biometrics (access control),n Control systems,n Databases,n Educational institutions,n Fingerprint recognition,n Vehicles,n authentication,n biometric system,n fingerprint,n motorists,n token-based
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Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet
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contributor author | Bergmeir, Philipp | |
contributor author | Nitsche, Christof | |
contributor author | Nonnast, Jurgen | |
contributor author | Bargende, Michael | |
contributor author | Antony, Peter | |
contributor author | Keller, Uwe | |
date accessioned | 2020-03-12T22:59:08Z | |
date available | 2020-03-12T22:59:08Z | |
date issued | 2014 | |
identifier other | 7033148.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1101450?locale-attribute=fa | |
format | general | |
language | English | |
publisher | IEEE | |
title | Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8243791 | |
subject keywords | Authentication | |
subject keywords | n Biometrics (access control) | |
subject keywords | n Control systems | |
subject keywords | n Databases | |
subject keywords | n Educational institutions | |
subject keywords | n Fingerprint recognition | |
subject keywords | n Vehicles | |
subject keywords | n authentication | |
subject keywords | n biometric system | |
subject keywords | n fingerprint | |
subject keywords | n motorists | |
subject keywords | n token-based | |
identifier doi | 10.1109/I4CT.2014.6914180 | |
journal title | achine Learning and Applications (ICMLA), 2014 13th International Conference on | |
filesize | 323168 | |
citations | 0 |