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date accessioned	2020-03-12T21:40:17Z
date available	2020-03-12T21:40:17Z
date issued	2014
identifier other	6952952.pdf
identifier uri	https://libsearch.um.ac.ir:443/fum/handle/fum/1056452?locale-attribute=fa
format	general
language	English
publisher	IEEE
title	Table of contents
type	Conference Paper
contenttype	Metadata Only
identifier padid	8187498
subject keywords	CMOS integrated circuits
subject keywords	n cellular neural nets
subject keywords	n electronic engineering computing
subject keywords	n field effect transistors
subject keywords	n graphene
subject keywords	n negative resistance
subject keywords	n tunnel transistors
subject keywords	n CMOS devices
subject keywords	n I-V characteristics
subject keywords	n NDR
subject keywords	n TFETs
subject keywords	n analog processor
subject keywords	n binary CNN
subject keywords	n cellular neural network
subject keywords	n exotic device
subject keywords	n graphene transistors
subject keywords	n multiple steep current growth regions
subject keywords	n negative differential resistance
subject keywords	n nonbinary outputs
subject keywords	n nonvon Neumann architectures
identifier doi	10.7873/DATE.2014.150
journal title	obotic and Sensors Environments (ROSE), 2014 IEEE International Symposium on
filesize	156041
citations	0

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