Identification of NLOS and multi-path conditions in UWB localization using machine learning methods CL Sang, B Steinhagen, JD Homburg, M Adams, M Hesse, U Rückert Applied Sciences 10 (11), 3980, 2020 | 72 | 2020 |
Evaluation of the Usage of Edge Computing and LoRa for the Control of Electric Vehicle Charging in the Low Voltage Grid B Steinhagen, T Jungh, M Hesse, U Rückert, L Quakernack, M Kelker, ... 2023 IEEE PES Conference on Innovative Smart Grid Technologies-Middle East …, 2023 | 2 | 2023 |
Supplementary Research Data for the Paper entitled Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods C Lian Sang, B Steinhagen, JD Homburg, M Adams, M Hesse, U Rückert | 2 | 2020 |
Comparison of Different Machine Learning Models for Short-Term Load Forecasting at Transformer Level with High Amounts of Photovoltaic Generation T Jungh, B Steinhagen, M Hesse, K Schulte 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1-5, 2023 | | 2023 |
TinyML optimization for activity classification on the resource-constrained body sensor BI-Vital K Penner, F Wittenfeld, B Steinhagen, M Hesse, U Rückert 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4, 2023 | | 2023 |