at Google ScholarTitle data
Martin, Dominik ; Heinzel, Simon ; Kunze von Bischhoffshausen, Johannes ; Kühl, Niklas:
Deep Learning Strategies for Industrial Surface Defect Detection Systems.
In: Bui, Tung X.
(ed.):
Proceedings of the 55th Annual Hawaii International Conference on System Sciences. -
Honolulu, HI
,
2022
. - pp. 1188-1197
ISBN 978-0-9981331-5-7
Official URL: 
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | surface defect detection; design science research; deep learning; industry 4.0 |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems Management > Chair Information Systems Management - Univ.-Prof. Dr.-Ing. Niklas Kühl Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems Management |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
| Date Deposited: | 18 Apr 2023 10:52 |
| Last Modified: | 18 Apr 2023 10:52 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/73741 |