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date accessioned2020-03-12T21:40:17Z
date available2020-03-12T21:40:17Z
date issued2014
identifier other6952952.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1056452?show=full
formatgeneral
languageEnglish
publisherIEEE
titleTable of contents
typeConference Paper
contenttypeMetadata Only
identifier padid8187498
subject keywordsCMOS integrated circuits
subject keywordsn cellular neural nets
subject keywordsn electronic engineering computing
subject keywordsn field effect transistors
subject keywordsn graphene
subject keywordsn negative resistance
subject keywordsn tunnel transistors
subject keywordsn CMOS devices
subject keywordsn I-V characteristics
subject keywordsn NDR
subject keywordsn TFETs
subject keywordsn analog processor
subject keywordsn binary CNN
subject keywordsn cellular neural network
subject keywordsn exotic device
subject keywordsn graphene transistors
subject keywordsn multiple steep current growth regions
subject keywordsn negative differential resistance
subject keywordsn nonbinary outputs
subject keywordsn nonvon Neumann architectures
identifier doi10.7873/DATE.2014.150
journal titleobotic and Sensors Environments (ROSE), 2014 IEEE International Symposium on
filesize156041
citations0


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