Rao, A. P. (2023). Multithreaded Software/Hardware Programming with ReconOS/Zephyr on a RISC-V-based System-on-Chip. Paderborn University.

Simon-Mertens, F. (2023). Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation. Paderborn University.

Oviasogie, M. O. (2023). Demonstrator for Dataflow-based DNN Acceleration for Vision Applications on Platform FPGAs. Paderborn University.

Reuter, L. D. (2023). Development of a Power Analysis Framework for Embedded FPGA Accelerators. Paderborn University.

Hamm, R. (2023). Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen. Paderborn University.

Klassen, A. (2023). Fast Partial Reconfiguration for ReconO on Xilinx MPSoC Devices. Paderborn University.

Tsague Dingo, J. (2023). Ein Simulator für Schedulability-Experimente mit periodischen Tasks auf FPGAs. Paderborn University.

Brede, M. (2023). Evaluation of Classifier Migration Between Multiple XCS Populations. Paderborn University.

Nowosad, A. (2023). Design and Realization of an Intra-FPGA ROS 2 Communication Infrastructure for the ReconROS Executor. Paderborn University.

AlAidroos, S. (2023). Design and Implementation of a RadioML Demonstrator based on an RFSoC Platform. Paderborn University.

Evers, G. (2023). Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation. Paderborn University.

Raeisi Nafchi, M. (2023). Reconfigurable Random Forest Implementation on FPGA. Paderborn University.

Opdenhövel, J.-O., Plessl, C., &; Kenter, T. (2023). Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation. Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART).https://doi.org/10.1145/3597031.3597050 

Kouagou, N. J., Heindorf, S., Demir, C., &; Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis in ALCHIQ(D). In Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-43421-1_12 

Kehrbusch, B., &; Engels, G. (2022). Digital Transformation - Towards flexible human-centric enterprises. In B. Vogel-Heuser &; M. Wimmer (Eds.), Digital Transformation: Core Technologies and Emerging Topics from a Computer Science Perspective. Springer-Vieweg.

Koldewey, C., Dumitrescu, R., &; Rabe, M. (2022). Introduction to the Data-driven Services in Manufacturing Minitrack - Exploring Management, Engineering, and Organizational Transformation. Proceedings of the 55th Hawaii International Conference on System Sciences. 55th Hawaii International Conference on System Sciences, Hawaii, USA.

Gottschalk, S., Yigitbas, E., Nowosad, A., &; Engels, G. (2022). Situational Business Model Developer: A Tool-support for Situation-speciû01c Business Model Development. Proceedings of the 17th International Conference on Wirtschaftsinformatik. 17th International Conference on Wirtschaftsinformatik, Nuremberg.

Yigitbas, E., Gottschalk, S., Nowosad, A., &; Engels, G. (2022). Development and Evaluation of a Collaborative Stock Trading Environment in Virtual Reality. Proceedings of the 17th International Conference on Wirtschaftsinformatik. 17th International Conference on Wirtschaftsinformatik, Nuremberg.

Castenow, J., Kling, P., Knollmann, T., &; Meyer auf der Heide, F. (2022). A Discrete and Continuous Study of the Max-Chain-Formation Problem. Information and Computation, Article 104877.https://doi.org/10.1016/j.ic.2022.104877 

Schneider, S. B. (2022). Network and Service Coordination: Conventional and Machine Learning Approaches".https://doi.org/10.17619/UNIPB/1-1276