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
An Efficient Technique for the Better Recognition of Oral C..:
, In:
2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
,
Manikandan, J
;
Devakadacham, Sterlin Rani
;
Shanthalakshmi, M.
.. - p. 1252-1257 , 2023
Link:
https://doi.org/10.1109/ICICCS56967.2023.10142687
RT T1
2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
: T1
An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector Machine
UL https://suche.suub.uni-bremen.de/peid=ieee-10142687&Exemplar=1&LAN=DE A1 Manikandan, J A1 Devakadacham, Sterlin Rani A1 Shanthalakshmi, M. A1 Arockia Raj, Y A1 Vijay, K YR 2023 SN 2768-5330 K1 Noise reduction K1 Support vector machine classification K1 Machine learning K1 Multilayer perceptrons K1 Feature extraction K1 Nonhomogeneous media K1 Medical diagnosis K1 Machine Learning K1 Deep Learning K1 Feature selection K1 Suppose Vector Machine K1 SMOTE SP 1252 OP 1257 LK http://dx.doi.org/https://doi.org/10.1109/ICICCS56967.2023.10142687 DO https://doi.org/10.1109/ICICCS56967.2023.10142687 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)