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
Early Forest Fire Recognition Method Based on C-GhostNet Ne..:
, In:
2022 5th International Symposium on Autonomous Systems (ISAS)
,
Li, Mengna
;
Zhang, Youmin
;
Mu, Lingxia
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ISAS55863.2022.9757318
RT T1
2022 5th International Symposium on Autonomous Systems (ISAS)
: T1
Early Forest Fire Recognition Method Based on C-GhostNet Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9757318&Exemplar=1&LAN=DE A1 Li, Mengna A1 Zhang, Youmin A1 Mu, Lingxia A1 Xin, Jing A1 Yu, Ziquan A1 Jiao, Shangbin A1 Liu, Han A1 Xie, Guo A1 Yi, Yingmin YR 2022 K1 Image segmentation K1 Image recognition K1 Autonomous systems K1 Neural networks K1 Fires K1 Forestry K1 Benchmark testing K1 Forest Fire K1 Fire Recognition K1 GhostNet K1 C-GhostNet K1 Lightweight Network SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ISAS55863.2022.9757318 DO https://doi.org/10.1109/ISAS55863.2022.9757318 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)