Simon-Mertens, F. (2023). Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation.
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Sprenger, A. (2023). Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-1787 
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DOI: 10.17619/UNIPB/1-1787

Hansmeier, T. (2023). XCS for Self-awareness in Autonomous Computing Systems.
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Ahmed, Q. A. (2022). Hardware Trojans in Reconfigurable Computing.https://doi.org/10.17619/UNIPB/1-1271__Paderborn University, Paderborn, Germany.https://doi.org/10.17619/UNIPB/1-1271 
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DOI: 10.17619/UNIPB/1-1271

Witschen, L. M. (2022). Frameworks and Methodologies for Search-based Approximate Logic Synthesis.https://doi.org/10.17619/UNIPB/1-1649 
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DOI: 10.17619/UNIPB/1-1649

Mehlich, F. (2022). An Evaluation of XCS on the OpenAI Gym. Paderborn University.
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Tcheussi Ngayap, V. I. (2022). FreeRTOS on a MicroBlaze Soft-Core Processor with Hardware Accelerators.
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Wiersema, T. (2021). Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware. Paderborn University.
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Kashikar, C. (2021). A Comparison of Machine Learning Techniques for the On-line Characterization of Tasks Executed on Heterogeneous Compute Nodes. Paderborn University.
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Rehnen, J. W. (2021). Decomposition of Arithmetic Components for the Approximate Circuit Synthesis with EvoApproxLib.
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