FB Mathematik, Informatik, Technik
Hochschule Koblenz
- 02642/932-300
- 02642/932-301
Friemert, Daniel; Schnur, David; Runkel, Simon et al.
Limitations of Public Biomechanical Movement Datasets for Deep Learning : Issues of Metadata, Standardization, and Variety in Motion Types32 S.
Ziyuan, Li; Jaekel, Uwe; Dellen, Babette
Advancing Complex-Valued Neural Networks with Product Units for MRI ReconstructionInternational Conference on Neural Information Processing (ICONIP 2025) (Hrsg).
Ziyuan, Li; Jaekel, Uwe; Dellen, Babette
Deep residual learning with product unitshttps://arxiv.org/abs/2505.04397 (Hrsg). Computer Science.
Mackowiak, Malwina M; Hoyer, Annika; Piedboeuf-Potyka, Katharina et al.
Causal effect of diabetes duration on productivity by socio-economic position in Germany between 2009 and 2021European Journal of Public Health. Bd. 36. H. 2. 2026 ckag041
Neuhäuser, Markus
Changes in Variance and the Detection of Trendsstats. Bd. 9. H. 4. MDPI AG 2026 Article 67
Roth, Sebastian; Cerrito, Adrien; Orth, Samuel et al.
COVAS: Highlighting the Importance of Outliers in Classification Through Explainable AIMachine Learning and Knowledge Extraction. Bd. 8. H. 1. MDPI AG 2026 S. 24
Reddig, Fabian; Hütt, Christoph; Vehlken, Leon et al.
Estimating Traits of Tillandsia landbeckii Using a Newly Developed VNIR/SWIR Multispectral UAV Imaging System in the Atacama DesertDrones. Bd. 10. H. 5. MDPI AG 2026 S. 390
Jenal, Alexander; Reddig, Fabian; Bolten, Andreas et al.
First Field Validation of a New VNIR–SWIR-Based Six-Band Multi-Camera System for UAVs over Winter WheatISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. XI-1-2026. Copernicus GmbH 2026 S. 61 - 69
Kohns, Peter; Retterath, Lukas; Ankerhold, Georg
LIBS-Detection of Harmful Metals in Plant Material13th Euro-Mediterranean Symposium on Laser Induced Breakdown Spectroscopy. Bd. Proceedings. Senlis, France. 2026 S. 140
Schwanen, Christopher T.; Pakusa, Wied
On Free Choice and Wil(l): From Petri Net Theory to Process MiningMining a Scientist's Process. Springer 2026 S. 298 - 311