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
Unveiling Fake News: A Machine and Deep Learning Approach:
, In:
2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
,
Dhiman, Pummy
;
Kaur, Amandeep
- p. 1054-1059 , 2023
Link:
https://doi.org/10.1109/ICAC3N60023.2023.10541753
RT T1 <cTitle>2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)</cTitle>: T1 <Title>Unveiling Fake News: A Machine and Deep Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10541753&Exemplar=1&LAN=DE A1 Dhiman, Pummy A1 Kaur, Amandeep YR 2023 K1 Deep learning K1 Computational modeling K1 Learning (artificial intelligence) K1 Bidirectional control K1 Linguistics K1 Boosting K1 Decision trees K1 Artificial Intelligence K1 Deep Learning K1 Fake News Detection K1 Internet Access K1 Machine Learning and Misinformation SP 1054 OP 1059 LK http://dx.doi.org/https://doi.org/10.1109/ICAC3N60023.2023.10541753 DO https://doi.org/10.1109/ICAC3N60023.2023.10541753 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
