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
Breast Cancer Classification Using Ensemble Approach, Machi..:
, In:
2022 International Conference on Futuristic Technologies (INCOFT)
,
Raju, N Kushal Kumar
;
Khatua, Avinash
;
Tarun, S
. - p. 1-8 , 2022
Link:
https://doi.org/10.1109/INCOFT55651.2022.10094372
RT T1 <cTitle>2022 International Conference on Futuristic Technologies (INCOFT)</cTitle>: T1 <Title>Breast Cancer Classification Using Ensemble Approach, Machine Learning and Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10094372&Exemplar=1&LAN=DE A1 Raju, N Kushal Kumar A1 Khatua, Avinash A1 Tarun, S A1 Monica Subashini, M YR 2022 K1 Training K1 Support vector machines K1 Predictive models K1 Prediction algorithms K1 Data models K1 Breast cancer K1 Classification algorithms K1 SVM K1 KNN K1 CNN K1 Random Forest K1 image classification K1 benign K1 malignant SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/INCOFT55651.2022.10094372 DO https://doi.org/10.1109/INCOFT55651.2022.10094372 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
