Machine Learning Based Indoor Localization Using a Representative k-Nearest-Neighbor Classifier on a Low-Cost IoT-Hardware. - Matthias Dziubany; Rüdiger Machhamer; Hendrik Laux; Anke Schmeink; Klaus-Uwe Gollmer; Guido Burger; Guido Dartmann (EUSIPCO, 2018)

Prognose von Wärmeverbräuchen. - Matthias Dziubany; Jens Schneider 003; Anke Schmeink; Guido Dartmann; Klaus-Uwe Gollmer; Stefan Naumann (GI-Jahrestagung (Workshops), 2018)

Online Offline Learning for Sound-Based Indoor Localization Using Low-Cost Hardware. - Rüdiger Machhamer; Matthias Dziubany; Levin Czenkusch; Hendrik Laux; Anke Schmeink; Klaus-Uwe Gollmer; Stefan Naumann; Guido Dartmann (IEEE Access, 2019)

Development of a Cyber-Physical System for an Autonomous Indoor Transportation Service. - Matthias Dziubany; Lars Creutz; Sam Kopp; Jens Schneider 003; Anke Schmeink; Guido Dartmann (MECO, 2020)

Optimization of a CPSS-based Flexible Transportation System. - Matthias Dziubany; Jens Schneider 003; Anke Schmeink; Guido Dartmann (MECO, 2020)

A Machine Learning Approach for the Classification of Disease Risks in Time Series. - Lejla Begic Fazlic; Ahmed Hallawa; Matthias Dziubany; Marlies Morgen; Jens Schneider 003; Marvin Schacht; Anke Schmeink; Lukas Martin; Arne Peine; Thomas Vollmer; Stefan Winter 002; Guido Dartmann (MECO, 2020)

Energy-efficient Cyber Physical Social System for Transportation with Appointments. - Matthias Dziubany; Anke Schmeink; Guido Dartmann (MECO, 2023)