%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 %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 = {2023-10-17T14:27:34.000+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 = {}, language = {eng}, publisher = {IEEE}, research-areas = {Automation \& Control Systems; Engineering}, timestamp = {2023-10-17T12:27:34.000+0200}, title = {Deep learning-based 5G indoor positioning in a manufacturing environment}, unique-id = {WOS:000934103900184}, venue = {Stuttgart}, year = 2022 }