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 Proposed Method of Machine Learning based Framework for S..:
, In:
2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)
,
Saini, Ashish
;
Rajkumar
;
Kumari, Amrita
. - p. 10-13 , 2022
Link:
https://doi.org/10.1109/ICFIRTP56122.2022.10059409
RT T1
2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)
: T1
A Proposed Method of Machine Learning based Framework for Software Product Line Testing
UL https://suche.suub.uni-bremen.de/peid=ieee-10059409&Exemplar=1&LAN=DE A1 Saini, Ashish A1 Rajkumar A1 Kumari, Amrita A1 Kumar, Satender YR 2022 K1 Support vector machines K1 Source coding K1 Closed box K1 Machine learning K1 Minimization K1 Software product lines K1 Fourth Industrial Revolution K1 Product Line K1 Software Product Line Engineering K1 Product Line Testing K1 Support Vector Machine K1 Fuzzy C-Means Clustering SP 10 OP 13 LK http://dx.doi.org/https://doi.org/10.1109/ICFIRTP56122.2022.10059409 DO https://doi.org/10.1109/ICFIRTP56122.2022.10059409 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)