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 YOLOv8-based Model for Precise Corrosion Segmentation in ..:
, In:
2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
,
Yuvaneswaren, R S
;
Prakash, S Tarun
;
Sudha, K.
- p. 1-6 , 2024
Link:
https://doi.org/10.1109/AIIoT58432.2024.10574659
RT T1
2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
: T1
A YOLOv8-based Model for Precise Corrosion Segmentation in Industrial Imagery
UL https://suche.suub.uni-bremen.de/peid=ieee-10574659&Exemplar=1&LAN=DE A1 Yuvaneswaren, R S A1 Prakash, S Tarun A1 Sudha, K. YR 2024 K1 Deep learning K1 Image segmentation K1 Cloud computing K1 Corrosion K1 Pipelines K1 Neural networks K1 Virtual machining K1 Corrosion Detection K1 Deep Learning K1 YOLOv8 K1 WandB K1 Neural Network K1 Image Analysis K1 Roboflow SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/AIIoT58432.2024.10574659 DO https://doi.org/10.1109/AIIoT58432.2024.10574659 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)