Use of forest structure to improve classification
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: 2014DOI: 10.1109/MEMSYS.2014.6765580
Keyword(s): chirality,n micro-optomechanical devices,n microfluidics,n optical materials,n optical multilayers,n refractive index,n THz polarizers,n THz spectrum range,n bio-materials,n filters,n flexible substrate,n multilayered microfluidic system,n nonchiral structure,n optical components,n optical property,n optofluidic system,n polarization rotation angle,n refractive index change,n strong-chiral structure,n tunable meta-fluidic-materials,n tu
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Use of forest structure to improve classification
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| contributor author | Grandchamp, E. | |
| date accessioned | 2020-03-12T21:32:58Z | |
| date available | 2020-03-12T21:32:58Z | |
| date issued | 2014 | |
| identifier other | 6946864.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1052458 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Use of forest structure to improve classification | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8182664 | |
| subject keywords | chirality | |
| subject keywords | n micro-optomechanical devices | |
| subject keywords | n microfluidics | |
| subject keywords | n optical materials | |
| subject keywords | n optical multilayers | |
| subject keywords | n refractive index | |
| subject keywords | n THz polarizers | |
| subject keywords | n THz spectrum range | |
| subject keywords | n bio-materials | |
| subject keywords | n filters | |
| subject keywords | n flexible substrate | |
| subject keywords | n multilayered microfluidic system | |
| subject keywords | n nonchiral structure | |
| subject keywords | n optical components | |
| subject keywords | n optical property | |
| subject keywords | n optofluidic system | |
| subject keywords | n polarization rotation angle | |
| subject keywords | n refractive index change | |
| subject keywords | n strong-chiral structure | |
| subject keywords | n tunable meta-fluidic-materials | |
| subject keywords | n tu | |
| identifier doi | 10.1109/MEMSYS.2014.6765580 | |
| journal title | eoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International | |
| filesize | 395897 | |
| citations | 0 |