Melina Geis

According to our database, Melina Geis authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Leveraging Transfer Learning for Rapid Adaptation of ML-based Indoor Propagation Models.

Melina Geis, Nicolas Faust, Hendrik Schippers, Stefan Böcker, Christian Wietfeld

Proceedings of the 36th IEEE International Symposium on Personal, 2025

2024

AI-Driven Planning of Private Networks for Shared Operator Models.

Melina Geis, Caner Bektas, Stefan Böcker, Christian Wietfeld

Proceedings of the 30th IEEE International Symposium on Local and Metropolitan Area Networks, 2024

Automated Private 5G Network Planning for Professional Industries.

Melina Geis, Caner Bektas, Stefan Böcker, Christian Wietfeld

Proceedings of the 30th IEEE International Symposium on Local and Metropolitan Area Networks, 2024

AI-Based Anomaly Detection for Industrial 5G Networks by Distributed SDR Measurements.

Kevin-Ismet Sabanovic, Christian Arendt, Steffen Fricke, Melina Geis, Stefan Böcker, Christian Wietfeld

Proceedings of the 2024 IEEE International Symposium on Measurements & Networking (M&N), 2024

Aerial-DRaGon: Machine Learning-based Channel Modeling for Airspace Communication Networks.

Melina Geis, Tim Gebauer, Harun Tuna, Christian Wietfeld

Proceedings of the IEEE International Conference on Communications Workshops, 2024

REMIBRANDT: Imputing Radio Environmental Maps for Safety-Critical Applications with Machine Learning.

Nils Altenburg, Hendrik Schippers, Melina Geis, Christian Wietfeld

Proceedings of the IEEE Globecom Workshops 2024, 2024

2022

DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning.

Benjamin Sliwa, Melina Geis, Caner Bektas, Melisa López, Preben Mogensen, Christian Wietfeld

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

TinyDRaGon: Lightweight Radio Channel Estimation for 6G Pervasive Intelligence.

Melina Geis, Benjamin Sliwa, Caner Bektas, Christian Wietfeld

Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2020

DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars.

Thorsten Wilhelm, Melina Geis, Jens Püttschneider, Timo Sievernich, Tobias Weber, Kay Wohlfarth, Christian Wöhler

Remote. Sens., 2020