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2020 – today
- 2024
[j4]Berkay Cetkin
, Lejla Begic Fazlic, Kristof Ueding, Rüdiger Machhamer, Achim Guldner, Lars Creutz, Stefan Naumann, Guido Dartmann:
Spatial impulse response analysis and ensemble learning for efficient precision level sensing. Discov. Artif. Intell. 4(1): 63 (2024)- 2023
- [j3]Achim Guldner, Maximilian Hoffmann, Christian Lohr, Rüdiger Machhamer, Lukas Malburg, Marlies Morgen, Stephanie C. Rodermund, Florian Schäfer, Lars Schaupeter, Jens Schneider, Felix Theusch, Ralph Bergmann, Guido Dartmann, Norbert Kuhn, Stefan Naumann, Ingo J. Timm, Matthias Vette-Steinkamp, Benjamin Weyers:
A framework for AI-based self-adaptive cyber-physical process systems. it Inf. Technol. 65(3): 113-128 (2023) - [i1]Rüdiger Machhamer, Lejla Begic Fazlic, Eray Guven, David Junk, Gunes Karabulut-Kurt, Stefan Naumann, Stephan Didas, Klaus-Uwe Gollmer, Ralph Bergmann, Ingo J. Timm, Guido Dartmann:
Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems. CoRR abs/2309.11526 (2023) - 2022
- [c5]Peter Knebel, Christian Appold, Marius Horbach, Yasmin Juncker, Rüdiger Machhamer, Simon Müller, Alfons Matheis:
An Artificial Intelligence of Things based Method for Early Detection of Bark Beetle Infested Trees. EnviroInfo 2022: 111-122 - [c4]Bastian Urschel, Lejla Begic Fazlic, Marlies Morgen, Rüdiger Machhamer, Guido Dartmann, Klaus-Uwe Gollmer:
A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors. SDF 2022: 1-6 - [d1]Rüdiger Machhamer:
Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware Data. IEEE DataPort, 2022
- 2020
- [c3]Rüdiger Machhamer, Jannik Altenhofer, Kristof Ueding, Levin Czenkusch, Florian Stolz, Maximilian Harth, Michael Mattern, Azhar Latif, Swen Haab, Jürgen Herrmann, Anke Schmeink, Klaus-Uwe Gollmer, Guido Dartmann:
Visual Programmed IoT Beehive Monitoring for Decision Aid by Machine Learning based Anomaly Detection. MECO 2020: 1-5 - [c2]Rüdiger Machhamer, Marcel Garling, Levin Czenkusch, Kristof Ueding, Achim Guldner, Jens Schneider, Azhar Latif, Anke Schmeink, Stefan Naumann, Klaus-Uwe Gollmer, Guido Dartmann:
Development of Edge Runtime Learning Systems for an Artificial Nose Classifying Drinks. MECO 2020: 1-5
2010 – 2019
- 2019
- [j2]Marcel Hauck, Rüdiger Machhamer, Levin Czenkusch, Klaus-Uwe Gollmer, Guido Dartmann:
Node and Block-Based Development Tools for Distributed Systems With AI Applications. IEEE Access 7: 143109-143119 (2019) - [j1]Rüdiger Machhamer, Matthias Dziubany, Levin Czenkusch, Hendrik Laux, Anke Schmeink, Klaus-Uwe Gollmer, Stefan Naumann, Guido Dartmann:
Online Offline Learning for Sound-Based Indoor Localization Using Low-Cost Hardware. IEEE Access 7: 155088-155106 (2019) - 2018
- [c1]Matthias Dziubany, Rüdiger Machhamer, Hendrik Laux, Anke Schmeink, Klaus-Uwe Gollmer, Guido Burger, Guido Dartmann:
Machine Learning Based Indoor Localization Using a Representative k-Nearest-Neighbor Classifier on a Low-Cost IoT-Hardware. EUSIPCO 2018: 2050-2054
Coauthor Index
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