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
STOA based Feature Selection with Improved LSTM Model for B..:
, In:
2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
,
Sravanthi, Vudutha
;
Annapurna, T
;
Krishna, V Rama
. - p. 01-07 , 2023
Link:
https://doi.org/10.1109/ICECCT56650.2023.10179785
RT T1
2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
: T1
STOA based Feature Selection with Improved LSTM Model for Breast Cancer Diagnosis in IoT
UL https://suche.suub.uni-bremen.de/peid=ieee-10179785&Exemplar=1&LAN=DE A1 Sravanthi, Vudutha A1 Annapurna, T A1 Krishna, V Rama A1 Jyothi, B YR 2023 K1 Deep learning K1 Pathology K1 Recurrent neural networks K1 Semantics K1 Refining K1 Feature extraction K1 Breast cancer K1 Internet of Things K1 Convolutional Neural Network K1 Sooty Tern Optimization Algorithm K1 Long-Short Term Memory K1 Elite opposition-based learning K1 Breast Cancer Diagnosis SP 01 OP 07 LK http://dx.doi.org/https://doi.org/10.1109/ICECCT56650.2023.10179785 DO https://doi.org/10.1109/ICECCT56650.2023.10179785 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)