Hochschule Worms
- 06241/509-0
Diller, Florian; Henkel, Nico; Scheuermann, Gerik et al.
SkillAR: Omnipresent In-Situ Feedback for Motor Skill Training using ARDiller, Florian.
Schymiczek, Jeff; Schmidbauer, Tobias; Wendzel, Steffen
A Case Study on the Detection of Hash-Chain-based Covert Channels Using Heuristics and Machine LearningProceedings of the 19th International Conference on Availability, Reliability and Security. New York: ACM 2024 S. 1 - 10
Strachanski, Fabian; Petrov, Denis; Schmidbauer, Tobias et al.
A Comprehensive Pattern-based Overview of StegomalwareProceedings of the 19th International Conference on Availability, Reliability and Security. New York: ACM 2024 S. 1 - 10
Zillien, Sebastian; Petrov, Denis; Ruffing, Pascal et al.
A Development Framework for TCP/IP Network Steganography Malware DetectionAssociation for Computing Machinery (Hrsg). Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security. Baiona: ACM 2024 S. 95 - 100
Leonhardt, Viktor; Wiebel, Alexander; Garth, Christoph
A framework for visual comparison of scalar fields with uncertaintyThe Visual Computer. Bd. 40. Springer 2024 S. 1 - 18
Graf, Marco; Barton, Thomas
Analysis of Travel Blogs Or: What Can We Learn About Traveller Behaviour From Travelogues?Digitalization in companies. Wiesbaden: Springer 2024 S. 201 - 215
Barton, Thomas
Application Potential for Causal Inference in Online MarketingArtificial intelligence in application. Wiesbaden: Springer 2024 S. 69 - 73
Barton, Thomas; Müller, Christian
Artificial intelligence in application: Legal aspects, application potentials and use scenarios2024. Aufl. Wiesbaden: Springer 2024 195 S.
Dittmann, Jana; Krätzer, Christian; Kiltz, Stefan et al.
Attribution von verdeckten (Informations-)Kanälen im Bereich kritischer Infrastrukturen und Potentiale für Prävention und Reaktion (ATTRIBUT)Steffen Wendzel et al. (Hrsg). GI Sicherheit 2024. Bonn. 2024 S. 265 - 268 (LNI P-345)
Diller, Florian; Wiebel, Alexander; Scheuermann, Gerik
Automatic Viewpoint Selection for Interactive Motor Feedback Using Principal Component AnalysisProceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP. Bd. 1. 2024 S. 350 - 361