Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence
I. Gräßler, J. Pottebaum, P. Nyhuis, R. Stark, K.-D. Thoben, P. Wiederkehr, Industry 4.0 Science 2025 (2025).

Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite
B. Löhnert, N. Augsten, C. Okulmus, M. Ortiz, in: The Semantic Web - 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part I, Springer Nature Switzerland, 2025, pp. 342--361.

The POCS-Algorithm—An effective tool for calculating 2D particle property distributions via data inversion of exemplary CDMA measurement data
T.N. Rüther, D.B. Rasche, H.-J. Schmid, Journal of Aerosol Science 188 (2025).

Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology
T. Schwabe, C. Kress, S. Kruse, M. Weizel, H. Rhee, J.C. Scheytt, Journal of Lightwave Technology 43 (2025) 255–270.

Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits
T. Schwabe, C. Kress, B. Sadiye, S. Kruse, J.C. Scheytt, IEEE Access 13 (2025) 192433–192450.

Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis
V. Tinnefeld, M. Kesternich, M. Werthschulte, Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis, ZEW Discussion Paper No. 25-60, 2025.

Open Science
I. Steinhardt, R. Röwert, in: P. Pasternack, G. Reinmann, C. Schneijderberg (Eds.), Hochschulforschung, Nomos, Baden-Baden, 2025, pp. 487–496.

Development of an AI-driven decentralized control for fifth generation district heating and cooling networks
J.A.T. Donner, A. Schlüter, in: SDEWES Conference 2025, 2025.

HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores
W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, O. Wallscheid, IEEE Transactions on Power Electronics 40 (2025) 3326–3335.

Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
H. Harder, S. Peitz, (n.d.).

Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment
A. Bender, O.K. Aimiyekagbon, W. Sextro, in: Proceedings of the 2024 Prognostics and System Health Management Conference (PHM), IEEE Computer Society, 2024.

Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence
P.J. Kulkarni, D. Tissen, R. Bernijazov, R. Dumitrescu, in: J. Malmqvist, M. Candi, R. Saemundsson, F. Bystrom, O. Isaksson (Eds.), DS 130: Proceedings of NordDesign 2024, 2024, pp. 617–625.

Toward an Android Static Analysis Approach for Data Protection
M. Khedkar, E. Bodden, in: Proceedings of the IEEE/ACM 11th International Conference on Mobile Software Engineering and Systems (MOBILESoft ’24). Association for Computing Machinery, New York, NY, USA, 65–68., 2024.

Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning
J. Gerritzen, A. Hornig, P. Winkler, M. Gude, in: ECCM21 - Proceedings of the 21st European Conference on Composite Materials, European Society for Composite Materials (ESCM), 2024, pp. 1252–1259.

Target-Specific Dataset Pruning for Compression of Audio Tagging Models
A. Werning, R. Haeb-Umbach, in: 32nd European Signal Processing Conference (EUSIPCO 2024), 2024.

The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization
D. Leffrang, in: Wirtschaftsinformatik Conference, 2023.

Towards a Data-Driven Product Management – Concepts, Advantages, and Future Research
T. Fichtler, K. Grigoryan, C. Koldewey, R. Dumitrescu, in: 2023 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), IEEE, 2023.

Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing
I. Gräßler, M. Hieb, in: Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524.

DomesticBeethoven/bith-annotator: Release 2023-04
J. Kepper, DomesticBeethoven/Bith-Annotator: Release 2023-04, Zenodo, 2023.

A New Conceptual Model for Musical Sources and Musicological Studies
E. Shibata, D. Lewis, M. Saccomano, J. Kepper, K. Page, in: D. Weigl, J. Bain, A. Ang (Eds.), Proceedings of the Music Encoding Conference 2022, Halifax, Nova Scotia, Canada, 2023, pp. 145–150.