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
Balanced K-Star: An Explainable Machine Learning Method for..:
Bita Ghasemkhani
;
Ozlem Aktas
;
Derya Birant
Machines Testing and Maintenance. , 2023
Link:
https://doi.org/10.3390/machines11030322
RT Journal T1
Balanced K-Star: An Explainable Machine Learning Method for Internet-of-Things-Enabled Predictive Maintenance in Manufacturing
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2075-1702_11_3_322_&Exemplar=1&LAN=DE A1 Bita Ghasemkhani A1 Ozlem Aktas A1 Derya Birant PB Multidisciplinary Digital Publishing Institute YR 2023 K1 machine learning K1 predictive maintenance K1 Internet of Things K1 explainable artificial intelligence K1 classification K1 manufacturing JF Machines Testing and Maintenance LK http://dx.doi.org/https://doi.org/10.3390/machines11030322 DO https://doi.org/10.3390/machines11030322 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)