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
Corrugation and Squat Classification and Detection with VGG..:
Mohd Yazed, Muhammad Syukri
;
Mohd Yunus, Mohd Amin
;
Ahmad Shaubari, Ezak Fadzrin
...
JOIV : International Journal on Informatics Visualization. 8 (2024) 2 - p. 916 , 2024
Link:
https://doi.org/10.62527/joiv.8.2.2756
RT Journal T1
Corrugation and Squat Classification and Detection with VGG16 and YOLOv5 Neural Network Models
UL https://suche.suub.uni-bremen.de/peid=cr-10.62527_joiv.8.2.2756&Exemplar=1&LAN=DE A1 Mohd Yazed, Muhammad Syukri A1 Mohd Yunus, Mohd Amin A1 Ahmad Shaubari, Ezak Fadzrin A1 Abdul Hamid, Nor Aziati A1 Amzah, Azmale A1 Md Ali, Zulhelmi PB Society of Visual Informatics YR 2024 SN 2549-9904 SN 2549-9610 JF JOIV : International Journal on Informatics Visualization VO 8 IS 2 SP 916 LK http://dx.doi.org/https://doi.org/10.62527/joiv.8.2.2756 DO https://doi.org/10.62527/joiv.8.2.2756 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)