Renewable energies in smart factories with electric vehicle fleets
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Year
: 2014DOI: 10.1109/ICDMW.2014.172
Keyword(s): Feature extraction,Image color analysis,Image segmentation,Kernel,Microorganisms,Shape,Support vector machines,Segmentation,effective distance,splitting,superpixel,vaginal bacteria
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Renewable energies in smart factories with electric vehicle fleets
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| contributor author | Maasmann, J. | |
| contributor author | Bocker, S. | |
| contributor author | Rettberg, F. | |
| contributor author | Wietfeld, C. | |
| contributor author | Rehtanz, C. | |
| date accessioned | 2020-03-12T21:20:07Z | |
| date available | 2020-03-12T21:20:07Z | |
| date issued | 2014 | |
| identifier other | 6934778.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1045259 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Renewable energies in smart factories with electric vehicle fleets | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8173780 | |
| subject keywords | Feature extraction | |
| subject keywords | Image color analysis | |
| subject keywords | Image segmentation | |
| subject keywords | Kernel | |
| subject keywords | Microorganisms | |
| subject keywords | Shape | |
| subject keywords | Support vector machines | |
| subject keywords | Segmentation | |
| subject keywords | effective distance | |
| subject keywords | splitting | |
| subject keywords | superpixel | |
| subject keywords | vaginal bacteria | |
| identifier doi | 10.1109/ICDMW.2014.172 | |
| journal title | ower Engineering Conference (UPEC), 2014 49th International Universities | |
| filesize | 356646 | |
| citations | 2 |