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
Detecting Deepfakes using CNN and LSTM:
, In:
2023 Second International Conference on Informatics (ICI)
,
Chinchalkar, Reva
;
Sinha, Rachita
;
Kumar, Manish
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICI60088.2023.10421656
RT T1
2023 Second International Conference on Informatics (ICI)
: T1
Detecting Deepfakes using CNN and LSTM
UL https://suche.suub.uni-bremen.de/peid=ieee-10421656&Exemplar=1&LAN=DE A1 Chinchalkar, Reva A1 Sinha, Rachita A1 Kumar, Manish A1 Chauhan, Neeraj A1 Deokar, Shubhangi A1 Gonge, Sudhanshu YR 2023 K1 Resistance K1 Deepfakes K1 Recurrent neural networks K1 Terrorism K1 Pipelines K1 Convolutional neural networks K1 Task analysis K1 deepfakes K1 facial manipulation K1 deep learning SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICI60088.2023.10421656 DO https://doi.org/10.1109/ICI60088.2023.10421656 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)