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
Towards Post-disaster Damage Assessment using Deep Transfer..:
, In:
Proceedings of the 24th International Conference on Distributed Computing and Networking
,
Banerjee, Sourasekhar
;
Patel, Yashwant Singh
;
Kumar, Pushkar
. - p. 372-377 , 2023
Link:
https://dl.acm.org/doi/10.1145/3571306.3571438
RT T1
Proceedings of the 24th International Conference on Distributed Computing and Networking
: T1
Towards Post-disaster Damage Assessment using Deep Transfer Learning and GAN-based Data Augmentation
UL https://suche.suub.uni-bremen.de/peid=acm-3571438&Exemplar=1&LAN=DE A1 Banerjee, Sourasekhar A1 Patel, Yashwant Singh A1 Kumar, Pushkar A1 Bhuyan, Monowar PB ACM YR 2023 K1 Class Activation Mapping K1 Clustering. K1 Cyber-Physical Systems K1 Damage Assessment K1 Deep Learning K1 Generative Adversarial Networks K1 Computing methodologies K1 Distributed computing methodologies K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Machine learning SP 372 OP 377 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3571306.3571438 DO https://dl.acm.org/doi/10.1145/3571306.3571438 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)