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
Deepfake video detection using CNN and RNN with OPTICAL FLO..:
, In:
2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
,
Sathwik Reddy, Elkapally Mani
;
Pavan Kumar, Aitipamula
;
Swetha, Polisetty
- p. 1-7 , 2024
Link:
https://doi.org/10.1109/SCEECS61402.2024.10482344
RT T1 <cTitle>2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)</cTitle>: T1 <Title>Deepfake video detection using CNN and RNN with OPTICAL FLOW features</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10482344&Exemplar=1&LAN=DE A1 Sathwik Reddy, Elkapally Mani A1 Pavan Kumar, Aitipamula A1 Swetha, Polisetty YR 2024 SN 2688-0288 K1 Deepfakes K1 Terrorism K1 Optical device fabrication K1 Optical computing K1 Feature extraction K1 Generative adversarial networks K1 Vectors K1 CNN K1 Resnet50 K1 RNN K1 LSTM K1 Optical flow K1 support vector machine SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/SCEECS61402.2024.10482344 DO https://doi.org/10.1109/SCEECS61402.2024.10482344 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
