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Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems., , , , , , , , , and 1 other author(s). CoRR, (2023)Prognose von Wärmeverbräuchen., , , , , and . GI-Jahrestagung (Workshops), volume P-285 of LNI, page 135-144. GI, (2018)Development of a Real-time Smart Meter for Non-Intrusive Load Monitoring and Appliance Disaggregation., , , , , , , and . EnviroInfo/ICT4S (2), page 47-52. University of Copenhagen, (2015)Machine Learning Based Indoor Localization Using a Representative k-Nearest-Neighbor Classifier on a Low-Cost IoT-Hardware., , , , , , and . EUSIPCO, page 2050-2054. IEEE, (2018)Development of Edge Runtime Learning Systems for an Artificial Nose Classifying Drinks., , , , , , , , , and 1 other author(s). MECO, page 1-5. IEEE, (2020)Online Offline Learning for Sound-Based Indoor Localization Using Low-Cost Hardware., , , , , , , and . IEEE Access, (2019)Visual Programmed IoT Beehive Monitoring for Decision Aid by Machine Learning based Anomaly Detection., , , , , , , , , and 3 other author(s). MECO, page 1-5. IEEE, (2020)Node and Block-Based Development Tools for Distributed Systems With AI Applications., , , , and . IEEE Access, (2019)A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors., , , , , and . SDF, page 1-6. IEEE, (2022)