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
Blended Ensemble Learning Prediction Model for Strengthenin..:
Mahesh, T. R.
;
Kumar, Dhilip
;
Vinoth Kumar, V.
...
Computational Intelligence and Neuroscience. 2022 (2022) - p. 1-9 , 2022
Link:
https://doi.org/10.1155/2022/4451792
RT Journal T1
Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease
UL https://suche.suub.uni-bremen.de/peid=cr-10.1155_2022_4451792&Exemplar=1&LAN=DE A1 Mahesh, T. R. A1 Kumar, Dhilip A1 Vinoth Kumar, V. A1 Asghar, Junaid A1 Mekcha Bazezew, Banchigize A1 Natarajan, Rajesh A1 Vivek, V. A1 Ahmad, Muhammad PB Hindawi Limited YR 2022 SN 1687-5273 SN 1687-5265 JF Computational Intelligence and Neuroscience VO 2022 SP 1 OP 9 LK http://dx.doi.org/https://doi.org/10.1155/2022/4451792 DO https://doi.org/10.1155/2022/4451792 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)