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
A novel high-through cell micronucleus detection algorithm ..:
, In:
2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
,
Wei, Weiyi
;
Li, Jingyu
;
Wu, Xiaoqin
. - p. 434-440 , 2023
Link:
https://doi.org/10.1109/IIoTBDSC60298.2023.00082
RT T1
2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
: T1
A novel high-through cell micronucleus detection algorithm based on improved YOLOv5
UL https://suche.suub.uni-bremen.de/peid=ieee-10554578&Exemplar=1&LAN=DE A1 Wei, Weiyi A1 Li, Jingyu A1 Wu, Xiaoqin A1 Zhang, Hangjian YR 2023 K1 YOLO K1 Accuracy K1 Heuristic algorithms K1 Supply chains K1 Real-time systems K1 Detection algorithms K1 Optimization K1 YOLOv5 K1 Attention mechanism K1 Feature fusion K1 Micronucleus K1 Deep learning SP 434 OP 440 LK http://dx.doi.org/https://doi.org/10.1109/IIoTBDSC60298.2023.00082 DO https://doi.org/10.1109/IIoTBDSC60298.2023.00082 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)