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Hybrid gesture classifying method using K-NN and DTW for smart remote control

contributor authorChang-Hyub Moon
contributor authorYoung-Chul Kim
date accessioned2020-03-12T21:34:44Z
date available2020-03-12T21:34:44Z
date issued2014
identifier other6947881.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1053433?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleHybrid gesture classifying method using K-NN and DTW for smart remote control
typeConference Paper
contenttypeMetadata Only
identifier padid8183794
subject keywordsIII-V semiconductors
subject keywordsn S-parameters
subject keywordsn gallium compounds
subject keywordsn high electron mobility transistors
subject keywordsn semiconductor device models
subject keywordsn wide band gap semiconductors
subject keywordsn GaN
subject keywordsn HEMT
subject keywordsn S parameter
subject keywordsn capacitive effect
subject keywordsn contacting pad
subject keywordsn drain electrode
subject keywordsn frequency 70 GHz
subject keywordsn gate electrode
subject keywordsn high electron mobility transistor
subject keywordsn small signal modelling
subject keywordsn Capacitance
subject keywordsn Gallium nitride
subject keywordsn HEMTs
subject keywordsn Integrated circuit modeling
subject keywordsn Logic gates
subject keywordsn Mathematical model
identifier doi10.1109/SPIN.2014.6777006
journal titlenformation Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
filesize163021
citations0


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