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
Deep Learning Methods for Real-time Detection and Analysis ..:
, In:
2022 International Conference on Computer Applications Technology (CCAT)
,
Han, Aifu
;
Zhang, Yongze
;
Li, Ajuan
... - p. 11-21 , 2022
Link:
https://doi.org/10.1109/CCAT56798.2022.00010
RT T1
2022 International Conference on Computer Applications Technology (CCAT)
: T1
Deep Learning Methods for Real-time Detection and Analysis of Wagner Ulcer Classification System
UL https://suche.suub.uni-bremen.de/peid=ieee-10006774&Exemplar=1&LAN=DE A1 Han, Aifu A1 Zhang, Yongze A1 Li, Ajuan A1 Li, Changjin A1 Zhao, Fengying A1 Dong, Qiujie A1 Liu, Yanting A1 Shen, Ximei A1 Yan, Sunjie A1 Zhou, Shengzong YR 2022 K1 Location awareness K1 Smoothing methods K1 Prototypes K1 Prediction algorithms K1 Real-time systems K1 Robustness K1 Diabetes K1 Diabetic foot K1 Wagner ulcer K1 Real-time detection K1 Refinements on YOLOv3 SP 11 OP 21 LK http://dx.doi.org/https://doi.org/10.1109/CCAT56798.2022.00010 DO https://doi.org/10.1109/CCAT56798.2022.00010 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)