%0 Conference Paper
%1 vietz2022learningbased
%A Vietz, Hannes
%A Löcklin, Andreas
%A Ammar, Hamza Ben Haj
%A Weyrich, Michael
%B 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
%C Piscataway
%D 2022
%I IEEE
%K ubs_10005 ubs_20007 ubs_30175 ubs_40357 unibibliografie wos
%R 10.1109/ETFA52439.2022.9921635
%T Deep learning-based 5G indoor positioning in a manufacturing environment
%@ 978-1-6654-9996-5 and 978-1-6654-9997-2
@inproceedings{vietz2022learningbased,
added-at = {2023-10-17T14:27:31.000+0200},
address = {Piscataway},
affiliation = {Vietz, H (Corresponding Author), Univ Stuttgart, Inst Ind Automat \& Software Engn, Stuttgart, Germany.
Vietz, Hannes; Loecklin, Andreas; Ammar, Hamza Ben Haj; Weyrich, Michael, Univ Stuttgart, Inst Ind Automat \& Software Engn, Stuttgart, Germany.},
author = {Vietz, Hannes and Löcklin, Andreas and Ammar, Hamza Ben Haj and Weyrich, Michael},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/25e6ba3db93ec22daeeceac7271555f70/unibiblio},
booktitle = {2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)},
doi = {10.1109/ETFA52439.2022.9921635},
eventdate = {2022-09-06/2022-09-09},
eventtitle = {2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)},
interhash = {9548f6dc327234f37abc473704d5495b},
intrahash = {5e6ba3db93ec22daeeceac7271555f70},
isbn = {{978-1-6654-9996-5} and {978-1-6654-9997-2}},
keywords = {ubs_10005 ubs_20007 ubs_30175 ubs_40357 unibibliografie wos},
language = {eng},
publisher = {IEEE},
research-areas = {Automation \& Control Systems; Engineering},
timestamp = {2023-10-17T14:27:31.000+0200},
title = {Deep learning-based 5G indoor positioning in a manufacturing environment},
unique-id = {WOS:000934103900184},
venue = {Stuttgart},
year = 2022
}
