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Publications

Displaying results 1431 to 1440 of 13724.

  1. Lukas Rauh; Mike Reichardt; Hans Dieter Schotten

    AI Asset Management: a Case Study with the Asset Administration Shell (AAS)

    In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2022), 27th Internetional Conference on Emerging Technologies and Factory Automation, September 6-9, Stuttgart, Germany, IEEE, 2022.

  2. Ashlam Ahmed Abadulla; Atta Badii; Frederic Theodor Stahl

    A Novel Approach Exploiting Machine Learning to Detect SQLi Attacks

    In: Abdessattar Ben Amor; Salwa Elloumi; Samir Nejim; Nabila Dhahbi; Hassène Gritli; Naoufel Machta (Hrsg.). 5th International Conference on Advanced Systems and Emergent Technologies. International Conference on Advanced Systems and Emergent Technologies (IC_ASET-2022), March 22-25, Hammamet, Tunisia, Pages 513-517, ISBN 978-1-6654-2735-7, IEEE, 2022.

  3. Linda Graf; Maximilian Altmeyer; Katharina Emmerich; Marc Herrlich; Andrey Krekhov; Katta Spiel

    Development and Validation of a German Version of the Player Experience Inventory (PXI)

    In: Proceedings of the Mensch und Computer Conference. Mensch und Computer (MuC-2022), September 4-7, Darmstadt, Germany, ACM, 2022.

  4. Jan Herbst; Matthias Rüb; Rekha Reddy; Yorman Munoz; Sergiy Melnyk; Christoph Lipps; Hans Dieter Schotten

    Reconfigurable Intelligent Surfaces: About Applications and Their Implementation

    In: ITG-Fb. 304: Mobilkommunikation - Technologien und Anwendungen. VDE/ITG Fachtagung Mobilkommunikation (MKT-2022), Osnabrück, Germany, ISBN 978-3-8007-5873-9, VDE ITG, 5/2022.

  5. Shaden Baradie; Rekha Reddy; Christoph Lipps; Hans Dieter Schotten

    Managing the Fifth Generation (5G) Wireless Mobile Communication: A Machine Learning Approach for Network Traffic Prediction

    In: ITG-Fb. 304: Mobilkommunikation - Technologien und Anwendungen. VDE/ITG Fachtagung Mobilkommunikation (MKT-2022), May 18-19, Osnabrück, Germany, ISBN 978-3-8007-5873-9, VDE ITG, 5/2022.

  6. Christoph Lipps; Shaden Baradie; Jan Herbst; Leigh Armistead; Hans Dieter Schotten

    Cybersecurity in Industrial Automation and Control Systems: The Recent Attack of the Colonial Pipeline

    In: Neal Kushwaha; Brett van Niekerk; Trishana Ramluckan. Modelling Nation-state Information Warfare and Cyber-operations Paperback – 7 Jun. 2022. Chapter 3, ISBN Modelling Nation-state Information Warfare and Cyber-operations Paperback – 7 Jun. 2022, Academic Bookshop, 6/2022.

  7. Janis Sprenger; Lorena Hell; Matthias Klusch

    Motion Capturing in Large-Scale VR Environments using Consumer Hardware

    In: Proceedings of the 17th International Symposium of 3-D Analysis of Human Movement. International Symposium of 3-D Analysis of Human Movement (3D-AHM-2022), 17th, July 16-19, Tokyo, Japan, International Society of Biomechanics, 2022.

  8. Adriano Lucieri; Fabian Schmeisser; Christoph Peter Balada; Muhammad Shoaib Ahmed Siddiqui; Andreas Dengel; Sheraz Ahmed

    Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

    In: Guang Yang; Angelica Aviles-Rivero; Michael Roberts; Carola-Bibiane Schönlieb (Hrsg.). Annual Conference on Medical Image Understanding and Analysis - MIUA 2022. Medical Image Understanding and Analysis (MIUA-2022), July 27-29, Cambridge, United Kingdom, Pages 46-61, LNCS, Vol. 13413, ISBN 978-3-031-12052-7, Springer, Cham, 7/2022.

  9. Melle Mendikowski; Mattis Hartwig

    Creating Customers That Never Existed - Synthesis of E-commerce Data Using CTGAN

    In: ibai - publishing (Hrsg.). Machine Learning and Data Mining in Pattern Recognition. International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM-2022), 18th International Conference on Machine Learning and Data Mining, July 16-21, New York, New York, USA, Pages 91-105, Vol. 284, ISBN 978-3-942952-93-4, Springer, Heidelberg, 7/2022.

  10. Benjamin Paaßen; Malwina Dywel; Melanie Fleckenstein; Niels Pinkwart

    Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings

    In: Maria Mercedes Rodrigo; Noburu Matsuda; Alexandra I. Cristea; Vania Dimitrova (Hrsg.). Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. International Conference on Artificial Intelligence in Education (AIED-2022), July 27-31, Durham, United Kingdom, Pages 132-137, LNCS, Vol. 13356, Springer, Cham, 7/2022.

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