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
Maithi-Net: A Customized Convolution Approach for Fake News..:
, In:
2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3)
,
Muduli, Debendra
;
Sharma, Santosh Kumar
;
Kumar, Dinesh
.. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/IC2E357697.2023.10262664
RT T1 <cTitle>2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3)</cTitle>: T1 <Title>Maithi-Net: A Customized Convolution Approach for Fake News Detection using Maithili Language</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10262664&Exemplar=1&LAN=DE A1 Muduli, Debendra A1 Sharma, Santosh Kumar A1 Kumar, Dinesh A1 Singh, Akshat A1 Srivastav, Shubham Kumar YR 2023 K1 Sensitivity K1 Social networking (online) K1 Convolution K1 Data models K1 Fake news K1 Tuning K1 Faces K1 CNN K1 Fake News K1 Recurrent Neural Network K1 Logistic Regression K1 Naive Bayes SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IC2E357697.2023.10262664 DO https://doi.org/10.1109/IC2E357697.2023.10262664 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
