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
An Estimation Method of Defect Types Using Artificial Neura..:
, In:
2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
,
Ota, Natsuki
;
Hosokawa, Toshinori
;
Yamazaki, Koji
.. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/DFT59622.2023.10313540
RT T1
2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
: T1
An Estimation Method of Defect Types Using Artificial Neural Networks and Fault Detection Information
UL https://suche.suub.uni-bremen.de/peid=ieee-10313540&Exemplar=1&LAN=DE A1 Ota, Natsuki A1 Hosokawa, Toshinori A1 Yamazaki, Koji A1 Yamauchi, Yukari A1 Arai, Masayuki YR 2023 SN 2765-933X K1 Simulation K1 Estimation K1 Artificial neural networks K1 Logic gates K1 Benchmark testing K1 Very large scale integration K1 Timing K1 fault diagnosis K1 universal logical fault model K1 multi-cycle capture testing K1 artificial neural networks K1 estimation of defect types SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/DFT59622.2023.10313540 DO https://doi.org/10.1109/DFT59622.2023.10313540 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)