Supplementary Data for "Security and Detectability Analysis of Unicode Text Watermarking Method...
This dataset includes Large Language Models (LLM) prompts and the cover text, used for the three experiments conducted in the conference paper "Security and Detectability Analysis of Unicode Text Watermarking Methods Against Large Language Models"...
Parameter Harmonization of Jiles-Atherton model Variants
This dataset provides the numerical results and optimization routines used to harmonize different Jiles–Atherton (JA) hysteresis model variants. The goal of the study was to determine whether parameter sets of one JA formulation can be transformed...
Comparative Analysis and Numerical Stability Assessment of Jiles-Atherton Model Variants (Sourc...
This repository provides the full source code and datasets used to compare multiple Jiles–Atherton (JA) hysteresis model variants, including Jiles86, Jiles92, Jiles94, Bergqvist96, Annakkage00, Cheng18, and Xue22. The material contains the numeric...
Inverse Bestimmung der Jiles-Atherton-Parameter durch Optimierung (Differential-Evolution) un...
The dataset includes a COMSOL model that replicates the experimental setup used for characterizing ferromagnetic hysteresis. Based on this model, synthetic training data were generated and used to create a surrogate model within COMSOL. This surro...
RF Communication Signal Dataset for Wireless Protocol Recognition based on Deep Embeddings (Part II)
This dataset supplements the dataset "RF Communication Signal Dataset for Wireless Protocol Recognition based on Deep Embeddings (Part I)" (https://fordatis.fraunhofer.de/handle/fordatis/460) and is part 3/3 of the evaluation data. The file "iqeng...
RF Communication Signal Dataset for Wireless Protocol Recognition based on Deep Embeddings (Part I)
This dataset supplements the paper "Approaching Domain Generalisation with Embeddings for Robust Discrimination and Recognition of RF Communication Signals" and is composed as follows: (1) The file "synthetic.zip" contains a total of 4,000 synt...