Rüdiger Machhamer

According to our database, Rüdiger Machhamer authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Spatial impulse response analysis and ensemble learning for efficient precision level sensing.

Berkay Cetkin, Lejla Begic Fazlic, Kristof Ueding, Rüdiger Machhamer, Achim Guldner, Lars Creutz, Stefan Naumann, Guido Dartmann

Discov. Artif. Intell., 2024

2023

A framework for AI-based self-adaptive cyber-physical process systems.

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

it Inf. Technol., June, 2023

Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems.

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

CoRR, 2023

2022

Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware Data.

Rüdiger Machhamer

Dataset, May, 2022

A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors.

Bastian Urschel, Lejla Begic Fazlic, Marlies Morgen, Rüdiger Machhamer, Guido Dartmann, Klaus-Uwe Gollmer

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2022

An Artificial Intelligence of Things based Method for Early Detection of Bark Beetle Infested Trees.

Peter Knebel, Christian Appold, Marius Horbach, Yasmin Juncker, Rüdiger Machhamer, Simon Müller, Alfons Matheis

Proceedings of the 36th International Conference on Informatics for Environmental Protection, 2022

2020

Development of Edge Runtime Learning Systems for an Artificial Nose Classifying Drinks.

Rüdiger Machhamer, Marcel Garling, Levin Czenkusch, Kristof Ueding, Achim Guldner, Jens Schneider, Azhar Latif, Anke Schmeink, Stefan Naumann, Klaus-Uwe Gollmer, Guido Dartmann

Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

Visual Programmed IoT Beehive Monitoring for Decision Aid by Machine Learning based Anomaly Detection.

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

Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

2019

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

Node and Block-Based Development Tools for Distributed Systems With AI Applications.

Marcel Hauck, Rüdiger Machhamer, Levin Czenkusch, Klaus-Uwe Gollmer, Guido Dartmann

IEEE Access, 2019

2018

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

Proceedings of the 26th European Signal Processing Conference, 2018