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
Sensor Anomaly Detection using Self Features Organizing Map..:
, In:
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)
,
Khelil, Mohamed Imed
;
Ladjal, Mohamed
;
Ouali, Mohammed Assam
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICATEEE57445.2022.10093763
RT T1 <cTitle>2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)</cTitle>: T1 <Title>Sensor Anomaly Detection using Self Features Organizing Maps and Hierarchical-Clustring for Water Quality Assessment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10093763&Exemplar=1&LAN=DE A1 Khelil, Mohamed Imed A1 Ladjal, Mohamed A1 Ouali, Mohammed Assam A1 Bennacer, Hamza YR 2022 K1 Self-organizing feature maps K1 Fault diagnosis K1 Databases K1 Soft sensors K1 System performance K1 Water quality K1 Feature extraction K1 Water quality assessment K1 Anomaly detection K1 Features selection K1 Hierarchical clustering SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICATEEE57445.2022.10093763 DO https://doi.org/10.1109/ICATEEE57445.2022.10093763 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
