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
Predictive Analysis & Classification of Diseases in Organs ..:
, In:
2020 7th International Conference on Computing for Sustainable Global Development (INDIACom)
,
Roy, Sukanya
;
Bhowmik, Arnab
;
Ghosh, Suvarup
. - p. 223-228 , 2020
Link:
https://doi.org/10.23919/INDIACom49435.2020.9083717
RT T1
2020 7th International Conference on Computing for Sustainable Global Development (INDIACom)
: T1
Predictive Analysis & Classification of Diseases in Organs using Modified-C Clustering Technique
UL https://suche.suub.uni-bremen.de/peid=ieee-9083717&Exemplar=1&LAN=DE A1 Roy, Sukanya A1 Bhowmik, Arnab A1 Ghosh, Suvarup A1 Roy, Bipasha YR 2020 K1 clustering K1 segmentation K1 classification K1 Euclidean classifier K1 decision tree SP 223 OP 228 LK http://dx.doi.org/https://doi.org/10.23919/INDIACom49435.2020.9083717 DO https://doi.org/10.23919/INDIACom49435.2020.9083717 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)