Wehrheim, Heike, et al. “Composition Analysis in Unknown Contexts.”10.5281/zenodo.8068510__On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 105–23, doi:10.5281/zenodo.8068510.

Raeisi Nafchi, Masood. Reconfigurable Random Forest Implementation on FPGA. Paderborn University, 2023.

Yadalam Murali Kumar, Nihal. Data Analytics for Predictive Maintenance of Time Series Data. Paderborn University, 2023.

Bittel, Lennart, et al. “The Optimal Depth of Variational Quantum Algorithms Is QCMA-Hard to Approximate.”10.4230/LIPIcs.CCC.2023.34__Proceedings of the 38th Computational Complexity Conference (CCC), vol. 264, no. 34, 2023, p. 34:1-34:24, doi:10.4230/LIPIcs.CCC.2023.34.

Pukrop, Simon. On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling. 2023, doi:10.17619/UNIPB/1-1768 .

Schneider, Fabian. Utilizing Redundancy in Distributed Heterogeneous Storage. 2023.

Raeisi Nafchi, Masood. Reconfigurable Random Forest Implementation on FPGA. 2023.

Ranade, Amruta. Graph Neural Network-Based Anomaly Detection in  Smart Grid Energy Consumption. 2023.

Ali, Osama. Highly Accurate Deep Compressed Facial Recognition. 2023.

Hinrichs, Benjamin, et al. “Super-Gaussian Decay of Exponentials: A Sufficient Condition.”10.1016/j.jmaa.2023.127558__Journal of Mathematical Analysis and Applications, vol. 528, no. 1, 127558, Elsevier BV, 2023, doi:10.1016/j.jmaa.2023.127558.

Ashri, Nivedita. Virtual On-Demand Volunteer System Based on Delaunay Triangulation. 2023.

Weich, Tobias, and Lasse L. Wolf. “Temperedness of Locally Symmetric Spaces: The Product Case.” ArXiv:2304.09573, 2023.

Brosch, Anian, et al. “Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors.”10.1109/tpel.2023.3294557__IEEE Transactions on Power Electronics, Institute of Electrical and Electronics Engineers (IEEE), 2023, doi:10.1109/tpel.2023.3294557.

Meyer, Marius, et al. “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks.”10.1145/3576200__ACM Transactions on Reconfigurable Technology and Systems, Association for Computing Machinery (ACM), 2023, doi:10.1145/3576200.

Opdenhövel, Jan-Oliver, et al. “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation.”10.1145/3597031.3597050__Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2023, doi:10.1145/3597031.3597050.

Weber, Daniel, et al. “Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems.”10.1109/access.2023.3297274__IEEE Access, vol. 11, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 76524–36, doi:10.1109/access.2023.3297274.

Weber, Daniel, et al. “Safe Reinforcement Learning-Based Control in Power Electronic Systems.”10.1109/fes57669.2023.10182718__2023 International Conference on Future Energy Solutions (FES), IEEE, 2023, doi:10.1109/fes57669.2023.10182718.

N., N. Improving the End-of-Line Test of Custom-Built Geared Motors Using Clustering Based on Neural Networks. 2023.

Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression Learning.” International Joint Conference on Artificial Intelligence, 2023.

Ma, Yulai, et al. “Pairwise Disjoint Perfect Matchings in R-Edge-Connected r-Regular Graphs.”10.1137/22m1500654__SIAM Journal on Discrete Mathematics, vol. 37, no. 3, Society for Industrial &; Applied Mathematics (SIAM), 2023, pp. 1548–65, doi:10.1137/22m1500654.