I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Drop-Connect as a Fault-Tolerance Approach for RRAM-based D..:
, In:
2024 IEEE 42nd VLSI Test Symposium (VTS)
,
Xiang, Mingyuan
;
Xie, Xuhan
;
Savarese, Pedro
... - p. 1-7 , 2024
Link:
https://doi.org/10.1109/VTS60656.2024.10538531
RT T1
2024 IEEE 42nd VLSI Test Symposium (VTS)
: T1
Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators
UL https://suche.suub.uni-bremen.de/peid=ieee-10538531&Exemplar=1&LAN=DE A1 Xiang, Mingyuan A1 Xie, Xuhan A1 Savarese, Pedro A1 Yuan, Xin A1 Maire, Michael A1 Li, Yanjing YR 2024 SN 2375-1053 K1 Degradation K1 Training K1 Fault tolerance K1 Fault tolerant systems K1 Artificial neural networks K1 Machine learning K1 Very large scale integration K1 fault tolerance K1 neural network K1 machine learning K1 RRAM SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/VTS60656.2024.10538531 DO https://doi.org/10.1109/VTS60656.2024.10538531 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)