Hard Disk Drive failure mode prediction based on industrial standard using decision tree learning
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Year
: 2014DOI: 10.1109/EEEI.2014.7005779
Keyword(s): Accuracy,Algorithm design and analysis,Biomedical imaging,Cost function,Image edge detection,Image segmentation,Stability analysis,Live-Wire algorithm,MR image segmentation,basal ganglia region,putamen segmentation
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Hard Disk Drive failure mode prediction based on industrial standard using decision tree learning
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| contributor author | Suchatpong, T. , Bhumkittipich, K. | |
| date accessioned | 2020-03-12T19:55:21Z | |
| date available | 2020-03-12T19:55:21Z | |
| date issued | 2014 | |
| identifier other | 6839839.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/995250?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Hard Disk Drive failure mode prediction based on industrial standard using decision tree learning | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8114751 | |
| subject keywords | Accuracy | |
| subject keywords | Algorithm design and analysis | |
| subject keywords | Biomedical imaging | |
| subject keywords | Cost function | |
| subject keywords | Image edge detection | |
| subject keywords | Image segmentation | |
| subject keywords | Stability analysis | |
| subject keywords | Live-Wire algorithm | |
| subject keywords | MR image segmentation | |
| subject keywords | basal ganglia region | |
| subject keywords | putamen segmentation | |
| identifier doi | 10.1109/EEEI.2014.7005779 | |
| journal title | lectrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON | |
| filesize | 620259 | |
| citations | 0 |