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Validation and Analysis of the Propagation Channel at 60 GHz for Vehicular Communication., , , , , , and . VTC Fall, page 1-7. IEEE, (2021)Bayesradar : Bayesian Metric-Kalman Filter Learning for Improved and Reliable Radar Target Classification., , , , , and . MLSP, page 1-6. IEEE, (2021)Improving Resource Efficiency of PMCW-Based JCRS Systems: Simultaneous Transmission of Pilot and Data via Orthogonal Codes., , , and . PIMRC, page 1-7. IEEE, (2023)Comparative Evaluation of a New Sensor for Superparamagnetic Iron Oxide Nanoparticles in a Molecular Communication Setting., , , , , , and . BICT, volume 329 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 303-316. Springer, (2020)Enabling Mobility-Oriented JCAS in 6G Networks: An Architecture Proposal., , , , , , , , , and 7 other author(s). CoRR, (2023)Joint Radar and Communications: Architectures, Use Cases, Aspects of Radio Access, Signal Processing, and Hardware., , , , , , , , , and 6 other author(s). IEEE Access, (2024)Integrated Classification and Localization of Targets Using Bayesian Framework In Automotive Radars., , , , , and . ICASSP, page 4060-4064. IEEE, (2021)Novel Receiver for Superparamagnetic Iron Oxide Nanoparticles in a Molecular Communication Setting., , , , , , , , , and 1 other author(s). NANOCOM, page 27:1-27:6. ACM, (2019)Evaluating RF Hardware Characteristics for Automotive JCRS Systems Based on PMCW-CDMA at 77GHz., , and . IEEE Access, (2023)A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars., , , , , and . IEEE Access, (2021)