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A Platform to Interest Young People in STEM using Robotics and AI in a Playful WayProceedings of the 14th International Conference on Computer Supported Education. Porto,: SCITEPRESS: Science and Technology Publications 2022 S. 346 - 352
Schneider, Jörn; Schneider, Marvin
A Translation Semantics for Driving Simulation LanguagesSoftware Engineering 2022 Workshops. Bd. 1. 2022 S. 70 - 81
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Acute effects of game-based biofeedback training on trunk motion in chronic low back pain: a randomized cross-over pilot trialBMC Sports Science, Medicine and Rehabilitation. Bd. 14. Springer 2022 192
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An analysis of the steepest descent method to efficiently compute the 3D acoustic single-layer operator in the high-frequency regimeIMA Journal of Numerical Analysis. Bd. 43. H. 3. Oxford University Press (OUP) 2022 S. 1831 - 1854
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An Artificial Intelligence of Things based Method for Early Detection of Bark Beetle Infested TreesEnviroInfo 2022. Bonn: Gesellschaft für Informatik e.V. 2022 S. 111 - 121
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Analyse und Bewertung der Digitalisierung von Vertriebsprozessen im AutohausBulletin of Taras Shevchenko National University of Kyiv: Economics. Bd. 220. H. 220. Taras Shevchenko National University of Kyiv 2022 S. 46 - 53
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Anwendung der Shearografie für die schnelle Prüfung von Bauteilen aus der MassenproduktionDeutsche Gesellschaft für zerstörungsfreie Prüfung e.V. (Hrsg). Tagungsband der DGZfP Jahrestagung 2022. Berlin-Charlottenburg. 2022 S. 1 - 8
Guldner, Achim
Assessing the Resource- and Energy Efficiency of AI-based Cyber-Physical SystemsAI and Cyber-Physical Process Systems Workshop 2022 (AI-CPPS @ KI2022); 45th German Conference on Artificial Intelligence conference. Trier. 2022
Helfrich, Johanna; Kühn, Jan Ph.; Wagner, Matthias et al.
Automated analysis of liquid-based oral brush cytology by means of Deep Learning: Development of a screening tool for head and neck cancers based on artificial intelligenceLaryngorhinootologie. Bd. 101. H. S2. Thieme 2022 S. 214 - 215
Helfrich, Johanna; Kühn, JanPhilipp; Wagner, Matthias et al.
Automatisierte Analyse von flüssigkeitsbasierten Bürstenabstrichen mithilfe von Deep Learning – Entwicklung eines Screening tools für Kopf-Hals-Tumoren basierend auf Künstlicher IntelligenzLaryngorhinootologie. Bd. 101. H. S2. Georg Thieme Verlag 2022 S. 62