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Use of forest structure to improve classification

contributor authorGrandchamp, E.
date accessioned2020-03-12T21:32:58Z
date available2020-03-12T21:32:58Z
date issued2014
identifier other6946864.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1052458?show=full
formatgeneral
languageEnglish
publisherIEEE
titleUse of forest structure to improve classification
typeConference Paper
contenttypeMetadata Only
identifier padid8182664
subject keywordschirality
subject keywordsn micro-optomechanical devices
subject keywordsn microfluidics
subject keywordsn optical materials
subject keywordsn optical multilayers
subject keywordsn refractive index
subject keywordsn THz polarizers
subject keywordsn THz spectrum range
subject keywordsn bio-materials
subject keywordsn filters
subject keywordsn flexible substrate
subject keywordsn multilayered microfluidic system
subject keywordsn nonchiral structure
subject keywordsn optical components
subject keywordsn optical property
subject keywordsn optofluidic system
subject keywordsn polarization rotation angle
subject keywordsn refractive index change
subject keywordsn strong-chiral structure
subject keywordsn tunable meta-fluidic-materials
subject keywordsn tu
identifier doi10.1109/MEMSYS.2014.6765580
journal titleeoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
filesize395897
citations0


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