Leveraging social norms to encourage online learning: empirical evidence from a blended learning course SA Günther, T Veihelmann, T Staake | 3 | 2020 |
Using Probe Counts to Provide High-Resolution Detector Data for a Microscopic Traffic Simulation T Veihelmann, V Shatov, M Lübke, N Franchi Vehicles 6 (2), 747-764, 2024 | 2 | 2024 |
Leveraging gradient-boosted trees to combine FFT, correlation and Fréchet-distance features for clear-sky detection T Veihelmann, M Seifaei, M Lübke, N Franchi 40th European Photovoltaic Solar Energy Conference and Exhibition, 020458 …, 2023 | 1 | 2023 |
Dual-Task Supervised Learning for Distributed Spectrum Monitoring Applications V Shatov, N Shanin, T Veihelmann, B Perner, N Franchi, M Lübke Authorea Preprints, 2025 | | 2025 |
German Perspective on 6G–Use Cases, Technical Building Blocks and Requirements N Franchi, F Dressler, D Ergenç, P Guter, V Lassen, M Lübke, ... FAU University Press, 2024 | | 2024 |
HOW CONNECTED CARS CAN IMPROVE SOLAR FORECASTING–EXPANDING THE SCALE OF LOCAL SENSOR NETWORKS T Veihelmann, M Lübke, N Franchi 41th European Photovoltaic Solar Energy Conference and Exhibition, 2024 | | 2024 |
How Connected Cars Could Capture Cloud Dynamics for Solar Forecasting—Evidence from Two Simulation Scenarios T Veihelmann, P Reitz, M Lübke, N Franchi Solar RRL, 2400470, 2024 | | 2024 |