| Domars16k: A diverse dataset for weakly supervised geomorphologic analysis on mars T Wilhelm, M Geis, J Püttschneider, T Sievernich, T Weber, K Wohlfarth, ... Remote Sensing 12 (23), 3981, 2020 | 33 | 2020 |
| DRaGon: Mining latent radio channel information from geographical data leveraging deep learning B Sliwa, M Geis, C Bektas, M López, P Mogensen, C Wietfeld 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2459-2464, 2022 | 11 | 2022 |
| TinyDRaGon: Lightweight radio channel estimation for 6G pervasive intelligence M Geis, B Sliwa, C Bektas, C Wietfeld 2022 IEEE Future Networks World Forum (FNWF), 658-663, 2022 | 7 | 2022 |
| AI-driven Planning of Private Networks for Shared Operator Models M Geis, C Bektas, S Böcker, C Wietfeld | 1 | 2024 |
| Automated Private 5G Network Planning for Professional Industries M Geis, C Bektas, S Böeker, C Wietfeld 2024 IEEE 30th International Symposium on Local and Metropolitan Area …, 2024 | | 2024 |
| AI-Based Anomaly Detection for Industrial 5G Networks by Distributed SDR Measurements KI Šabanović, C Arendt, S Fricke, M Geis, S Böcker, C Wietfeld 2024 IEEE International Symposium on Measurements & Networking (M&N), 1-5, 2024 | | 2024 |
| Aerial-DRaGon: Machine Learning-based Channel Modeling for Airspace Communication Networks M Geis, T Gebauer, H Tuna, C Wietfeld 2024 IEEE International Conference on Communications Workshops (ICC …, 2024 | | 2024 |
| REMIBRANDT: Imputing Radio Environmental Maps for Safety-Critical Applications with Machine Learning N Altenburg, H Schippers, M Geis, C Wietfeld | | 2024 |
| IndoorDRaGon: Data-Driven 3D Radio Propagation Modeling for Highly Dynamic 6G Environments M Geis, H Schippers, M Danger, C Krieger, S Boecker, J Freytag, ... European Wireless 2023; 28th European Wireless Conference, 49-55, 2023 | | 2023 |
Christian WietfeldProfessor for Communication Networks, TU Dortmund University在 tu-dortmund.de 的电子邮件经过验证
