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
Machine learning-based anomaly detection for post-silicon b..:
, In:
Proceedings of the Conference on Design, Automation and Test in Europe
,
DeOrio, Andrew
;
Li, Qingkun
;
Burgess, Matthew
. - p. 491-496 , 2013
Link:
https://dl.acm.org/doi/10.5555/2485288.2485411
RT T1
Proceedings of the Conference on Design, Automation and Test in Europe
: T1
Machine learning-based anomaly detection for post-silicon bug diagnosis
UL https://suche.suub.uni-bremen.de/peid=acm-2485411&Exemplar=1&LAN=DE A1 DeOrio, Andrew A1 Li, Qingkun A1 Burgess, Matthew A1 Bertacco, Valeria PB EDA Consortium YR 2013 K1 Computing methodologies K1 Machine learning K1 Hardware K1 Hardware test K1 Robustness K1 Applied computing K1 Physical sciences and engineering K1 Electronics SP 491 OP 496 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/2485288.2485411 DO https://dl.acm.org/doi/10.5555/2485288.2485411 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)