D. Lee, F. Weinhardt, J. Hommel, H. Class, und H. Steeb. Dataset, (2023)Related to: Lee, D., Weinhardt, F., Hommel, J., Piotrovski, J., Class, H., and Steeb, H. (2022). Machine Learning assists in increasing the time resolution of X-Ray Computed Tomography applied to mineral precipitation on porous media. Scientific Reports, to be submitted.
L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, und A. Bruhn. Dataset, (2023)Related to: Lukas Mehl, Jenny Schmalfuss, Azin Jahedi, Yaroslava Nalivayko, Andrés Bruhn: Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. arXiv: 2303.01943.
J. Rettberg, D. Wittwar, P. Buchfink, A. Brauchler, P. Ziegler, J. Fehr, und B. Haasdonk. Dataset, (2023)Related to: Rettberg, J.; Wittwar, D.; Buchfink, P.; Brauchler, A.; Ziegler, P.; Fehr, J.; Haasdonk, B.: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. Mathematical and Computer Modelling of Dynamical Systems, 2023. doi: 10.1080/13873954.2023.2173238.
L. Hückmann, und J. Kästner. Dataset, (2023)Related to: Lukas Hückmann, Dr. Sonia Álvarez-Barcia, Marina Fuhrer, Prof. Dr. Bernd Plietker, and Prof. Dr. Johannes Kästner. Ruthenium-Catalyzed Secondary Amine Formation Studied by Density Functional Theory. ChemCatChem2021,13,1383-1388. doi: 10.1002/cctc.202001588.
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
M. Rosenfelder, H. Ebel, und P. Eberhard. Dataset, (2023)Related to: Rosenfelder, M., Ebel, H., Eberhard, P. (2023). A Force-Based Formation Synthesis Approach for the Cooperative Transportation of Objects. In: Petrič, T., Ude, A., Žlajpah, L. (eds) Advances in Service and Industrial Robotics. RAAD 2023. Mechanisms and Machine Science, vol 135. Springer, Cham. doi: 10.1007/978-3-031-32606-6_37.
M. Rosenfelder, H. Ebel, und P. Eberhard. Dataset, (2023)Related to: Rosenfelder, M., Ebel, H., Eberhard, P. (2023). Force-based organization and control scheme for the non-prehensile cooperative transportation of objects. Robotica, pp. 1-14, 2023. doi: 10.1017/S0263574723001704.
M. Franke, und S. Koch. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP, 3 : IVAPP, Seite 40-52. Setúbal, SciTePress, (2023)
S. Vriend, S. Vidyapu, A. Rama, K. Chen, und D. Weiskopf. Software, (2023)Related to: Sandeep Vidyapu, Sita A. Vriend, Amer Rama, Kun-Ting Chen, Daniel, Weiskopf. 2023. Which Experimental Design is Better Suited for VQA Tasks? - Eye TrackingStudy on Cognitive Load, Performance, and Gaze Allocations.
S. Gravelle, D. Beyer, M. Brito, A. Schlaich, und C. Holm. Software, (2023)Related to: Simon Gravelle, David Beyer, Mariano Brito, Alexander Schlaich, Christian Holm: Reconstruction of NMR Relaxation Rates from Coarse-Grained Polymer Simulations, ChemRxiv, 2022. Preprint. doi: 10.26434/chemrxiv-2022-f90tv-v2.
P. Rodegast, S. Maier, J. Kneifl, und J. Fehr. Software, (2023)Related to: Rodegast, P., Maier, S., Kneifl, J., Fehr, J.: On using Machine Learning Algorithms for Motorcycle Collision Detection, 2023. tbd.