Henke L-S. Exploring Custom FPGA Accelerators for DNN-Based RF Fingerprinting.; 2024.
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Sprenger A. Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen. Universität Paderborn; 2023. doi:10.17619/UNIPB/1-1787
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DOI: 10.17619/UNIPB/1-1787

Hansmeier T. XCS for Self-Awareness in Autonomous Computing Systems.; 2023.
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Anantha Rao DB. Efficient Neural Network Inference for Velocity Estimation in Athletic Relay Races on a Microcontroller. Paderborn University; 2023.
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Mehlich F. An Evaluation of XCS on the OpenAI Gym. Paderborn University; 2023.
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Simon-Mertens F. Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation. Paderborn University; 2023.
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Oviasogie MO. Demonstrator for Dataflow-Based DNN Acceleration for Vision Applications on Platform FPGAs. Paderborn University; 2023.
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Reuter LD. Development of a Power Analysis Framework for Embedded FPGA Accelerators. Paderborn University; 2023.
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Hamm R. Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen. Paderborn University; 2023.
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AlAidroos S. Design and Implementation of a RadioML Demonstrator Based on an RFSoC Platform. Paderborn University; 2023.
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Evers G. Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation. Paderborn University; 2023.
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Ahmed QA. Hardware Trojans in Reconfigurable Computing.10.17619/UNIPB/1-1271__Paderborn University, Paderborn, Germany; 2022. doi:10.17619/UNIPB/1-1271
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DOI: 10.17619/UNIPB/1-1271

Witschen LM. Frameworks and Methodologies for Search-Based Approximate Logic Synthesis.; 2022. doi:10.17619/UNIPB/1-1649
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Tcheussi Ngayap VI. FreeRTOS on a MicroBlaze Soft-Core Processor with Hardware Accelerators.; 2022.
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Wiersema T. Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware. Paderborn University; 2021.
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Kashikar C. A Comparison of Machine Learning Techniques for the On-Line Characterization of Tasks Executed on Heterogeneous Compute Nodes. Paderborn University; 2021.
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Rehnen JW. Decomposition of Arithmetic Components for the Approximate Circuit Synthesis with EvoApproxLib.; 2021.
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Brede M. Implementation and Profiling of XCS in the Context of Embedded Systems. Paderborn: Paderborn University; 2021.
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Sheikh MA. Design and Implementation of a ReconROS-Based Obstacle Avoidance System. Paderborn University; 2021.
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Chandrakar K. Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis.; 2020.
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