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Publikationen

Zeige Ergebnisse 1261 bis 1270 von 13867.
  1. Akshaya Dharmaraj

    Open Journal Citation Ranking

    Mastersthesis, Rheinland-Pfälzische Technische Universität Kaiserslautern–Landau, 5/2023.

  2. A Qualitative Study of 5G Simulators and Frameworks for V2X Applications

    In: Workshop on Next Generation Networks and Applications. Workshop on Next Generation Networks and Applications (NGNA-2024), December 14-15, Kaiserslautern, Germany, 12/2023.

  3. Sahar Abdelnabi; Amr Gomaa; Sarath Sivaprasad; Lea Schönherr; Mario Fritz

    Llm-deliberation: Evaluating llms with interactive multi-agent negotiation games

    In: ArXiv e-prints (arxiv), Vol. arXiv preprint arXiv:2309.17234, Pages 1-38, arxiv, 2023.

  4. Monireh Pourjafarian; Christiane Plociennik; Mohammad Hossein Rimaz; Peter Stein; Malte Vogelgesang; Chanchan Li; Svenja Knetsch; Simon Bergweiler; Martin Ruskowski

    A Multi-Stakeholder Digital Product Passport Based on the Asset Administration Shell

    In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2023), Pages 1-8, IEEE, 2023.

  5. Am I in Good Shape? Flexible Way to Validate Asset Administration Shell Data Entry via Shapes Constraint Language

    In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Pages 1-6, IEEE, 9/2023.

  6. Nicolò Parmiggiani; Andrea Bulgarelli; Alessandro Ursi; Antonio Macaluso; Ambra Di Piano; Valentina Fioretti; Alessio Aboudan; Leonardo Baroncelli; Antonio Addis; Marco Tavani; Carlotta Pittori

    A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

    In: The Astrophysical Journal (ApJ), Vol. 945, No. 2, Pages 1-12, IOP, 3/2023.

  7. Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting

    In: Springer (Hrsg.). Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. International Conference on Artificial Neural Networks (ICANN), September 26-30, Crete, Greece, Vol. 14259, Springer, 2023.

  8. DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. NA, Page NA, IEEE, 2023.

  9. PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation

    In: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE International Conference on Pervasive Computing and Communications (PerCom-2023), March 13-17, Atlanta, USA, IEEE, 3/2023.