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
A Simplified Machine Learning Approach to Classifying Indiv..:
, In:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
,
Burns, Tina
;
Song, Chuxu
;
Seskar, Ivan
.. - p. 6109-6114 , 2022
Link:
https://doi.org/10.1109/GLOBECOM48099.2022.10001054
RT T1 <cTitle>GLOBECOM 2022 - 2022 IEEE Global Communications Conference</cTitle>: T1 <Title>A Simplified Machine Learning Approach to Classifying Individual Websites</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10001054&Exemplar=1&LAN=DE A1 Burns, Tina A1 Song, Chuxu A1 Seskar, Ivan A1 Ortiz, Jorge A1 Martin, Richard P. YR 2022 K1 Training K1 Privacy K1 Training data K1 Machine learning K1 Traffic control K1 Virtual private networks K1 Timing K1 Machine Learning K1 Deep Learning K1 Neural Net-works K1 Website classification K1 network K1 traffic classification K1 CNN K1 LSTM K1 Dense Network K1 FCN K1 MLP K1 Multilayer percep-tron K1 Autoencoder K1 packets K1 inner-arrival time K1 packet length SP 6109 OP 6114 LK http://dx.doi.org/https://doi.org/10.1109/GLOBECOM48099.2022.10001054 DO https://doi.org/10.1109/GLOBECOM48099.2022.10001054 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
