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
Automated Cervical Cancer Prediction using Ensemble Machine..:
, In:
2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET)
,
Ghetia, Tarang
;
Patel, Nirmit
;
Chawda, Ckewyn
.. - p. 1-7 , 2023
Link:
https://doi.org/10.1109/ICRASET59632.2023.10420051
RT T1 <cTitle>2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET)</cTitle>: T1 <Title>Automated Cervical Cancer Prediction using Ensemble Machine Learning based Approaches</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10420051&Exemplar=1&LAN=DE A1 Ghetia, Tarang A1 Patel, Nirmit A1 Chawda, Ckewyn A1 Mishra, Shakti A1 Kumar, Yogesh YR 2023 K1 Adaptation models K1 Support vector machine classification K1 Multilayer perceptrons K1 Predictive models K1 Cervical cancer K1 Random forests K1 Principal component analysis K1 Cervical Cancer K1 Machine Learning K1 ADASYN K1 Classification SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICRASET59632.2023.10420051 DO https://doi.org/10.1109/ICRASET59632.2023.10420051 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
