Computational investigation of failure in anodized aluminum
Publisher:
Year
: 2014DOI: 10.1109/ICFHR.2014.63
Keyword(s): Accuracy,Error analysis,Handheld computers,Handwriting recognition,Neurons,Training,Writing
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Computational investigation of failure in anodized aluminum
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| date accessioned | 2020-03-12T23:32:33Z | |
| date available | 2020-03-12T23:32:33Z | |
| date issued | 2014 | |
| identifier other | 6897582.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1115395?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Computational investigation of failure in anodized aluminum | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8284833 | |
| subject keywords | Accuracy | |
| subject keywords | Error analysis | |
| subject keywords | Handheld computers | |
| subject keywords | Handwriting recognition | |
| subject keywords | Neurons | |
| subject keywords | Training | |
| subject keywords | Writing | |
| identifier doi | 10.1109/ICFHR.2014.63 | |
| journal title | lectronic Components and Technology Conference (ECTC), 2014 IEEE 64th | |
| filesize | 3323819 | |
| citations | 0 | |
| contributor rawauthor | Ball, S. , Guven, I. , Sinha, P. , Rastogi, R. , McCarson, B. |