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 Machine Learning based Approach for Breast Cancer Predict..:
, In:
2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)
,
Agrawal, Mayank
;
Jain, Vinod
- p. 623-626 , 2022
Link:
https://doi.org/10.1109/ICACRS55517.2022.10029256
RT T1 <cTitle>2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)</cTitle>: T1 <Title>A Machine Learning based Approach for Breast Cancer Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10029256&Exemplar=1&LAN=DE A1 Agrawal, Mayank A1 Jain, Vinod YR 2022 K1 Renewable energy sources K1 Machine learning algorithms K1 Automation K1 Support vector machine classification K1 Prediction methods K1 Breast cancer K1 Random forests K1 Artificial Intelligence K1 Machine Learning K1 Breast Cancer Prediction SP 623 OP 626 LK http://dx.doi.org/https://doi.org/10.1109/ICACRS55517.2022.10029256 DO https://doi.org/10.1109/ICACRS55517.2022.10029256 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
