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
Application of YOLO Algorithm for Segmentation and Classifi..:
, In:
2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
,
Komarskiy, Alexander A.
;
Ponomarev, Andrey V.
;
Krinitzin, Vladislav. V.
- p. 880-885 , 2024
Link:
https://doi.org/10.1109/ICIEAM60818.2024.10553944
RT T1 <cTitle>2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)</cTitle>: T1 <Title>Application of YOLO Algorithm for Segmentation and Classification of Minerals in CT Slices Obtained by Dual- and Multi-Energy CT</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10553944&Exemplar=1&LAN=DE A1 Komarskiy, Alexander A. A1 Ponomarev, Andrey V. A1 Krinitzin, Vladislav. V. YR 2024 K1 YOLO K1 Image segmentation K1 Filters K1 Computed tomography K1 Brightness K1 Rocks K1 Minerals K1 X-ray K1 dual-energy K1 multi-energy K1 image processing K1 convolutional neural networks K1 beryl SP 880 OP 885 LK http://dx.doi.org/https://doi.org/10.1109/ICIEAM60818.2024.10553944 DO https://doi.org/10.1109/ICIEAM60818.2024.10553944 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
