Prof. Dr.-Ing. Norman Franchi

Lehrstuhl für Intelligente Technische Elektronik und Systeme Lehrstuhl für Technische Elektronik (LTE)

Hybrid Predictive Modeling for Single-Sensor Data Consistency in Industrial IoT (2025) Ruhland T, Müller K, Lübke M, Tobola A, Franchi N Conference contribution, Conference Contribution Dual-Task Supervised Learning for Distributed Spectrum Monitoring Applications (2025) Shatov V, Shanin N, Veihelmann CT, Perner B, Franchi N, Lübke M Conference contribution, Conference Contribution FLINT: Performance-Aware In-Network Computing for Dynamic 6G Sub-Networks (2025) Müller K, Zhang J, Vossiek P, Shafaei S, Fitzek FH, Franchi N Conference contribution, Conference Contribution TinyEP: TinyML-enhanced Energy Profiling for Extreme Edge Devices (2024) Müller K, Weidner J, Franchi N, Wägemann P Journal article German Perspective on 6G – Use Cases, Technical Building Blocks and Requirements Insights by the 6G Platform Germany (2024) Franchi N, Dressler F, Ergenc D, Guter P, Lassen V, Lübke M, Veihelmann CT, et al. Authored book NimbleNet: Serverless Computing for the Extreme Edge in Factory Environments (2024) Müller K, Seidler M, Ulbrich P, Franchi N Conference contribution How Connected Cars Can Improve Solar Forecasting - Expanding the Scale of Local Sensor Networks (2024) Veihelmann CT, Lübke M, Franchi N Conference contribution, Conference Contribution Analysis of 60 GHz Radar Channel Characteristics in Indoor and Outdoor Environments (2024) Reitz P, Künzle C, Franchi N, Lübke M Conference contribution, Conference Contribution Accelerating Deep Learning in Radar Systems: A Simulation Framework for 60 GHz Indoor Radar (2024) Reitz P, Maiwald T, Bönsch J, Franchi N, Lübke M Journal article, Report How Connected Cars Could Capture Cloud Dynamics for Solar Forecasting—Evidence from Two Simulation Scenarios (2024) Veihelmann CT, Reitz P, Lübke M, Franchi N Journal article