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
Hierarchical Local Sensitivity Analysis Method for Optimiza..:
, In:
2022 IEEE/CIC International Conference on Communications in China (ICCC)
,
Yue, Gang
;
Sun, Zhuo
;
Fan, Jinpo
- p. 451-456 , 2022
Link:
https://doi.org/10.1109/ICCC55456.2022.9880845
RT T1 <cTitle>2022 IEEE/CIC International Conference on Communications in China (ICCC)</cTitle>: T1 <Title>Hierarchical Local Sensitivity Analysis Method for Optimization of Deep Learning-based Anomaly Detection in Communication Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9880845&Exemplar=1&LAN=DE A1 Yue, Gang A1 Sun, Zhuo A1 Fan, Jinpo YR 2022 K1 Deep learning K1 Integrated circuits K1 Analytical models K1 Sensitivity analysis K1 Computational modeling K1 Neurons K1 Robustness K1 Communication network K1 anomaly detection K1 local sensitivity analysis K1 structure compression K1 robustness improvement SP 451 OP 456 LK http://dx.doi.org/https://doi.org/10.1109/ICCC55456.2022.9880845 DO https://doi.org/10.1109/ICCC55456.2022.9880845 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
