Master Thesis MSTR-2017-105

BibliographyAlturn, Arfan: Deep Learning Techniques for Predictive Maintenance in AGV-based Systems.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 105 (2017).
99 pages, english.

kein Abstract.

Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Parallel Systems
Superviser(s)Simon, Prof. Sven; Henkel, Chistian
Entry dateNovember 8, 2021
   Publ. Computer Science