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Publikationen

Zeige Ergebnisse 1421 bis 1430 von 14712.

  1. Benjamin Blumhofer; Jonas Weigand; Leonhard Kunz; Pascal Rübel; Achim Wagner

    Detection of Rare Fault Cases for Mobile Robot Applications

    In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 61-70, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

  2. Jibinraj Antony; Dorotea Jalu¨ić; Simon Bergweiler; Ákos Hajnal; Veronika ´labravec; Márk Emődi; Dejan Strbad; Tatjana Legler; Attila Csaba Marosi

    Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications

    In: Journal of Grid Computing, Vol. 22 (71), Pages 1-19, Springer, 11/2024.

  3. Vinit Vikas Hegiste; Tatjana Legler; Martin Ruskowski

    Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 55-62, IEEE, 2024.

  4. Tatjana Legler; Vinit Vikas Hegiste; Martin Ruskowski

    Seamless Integration: Sampling Strategies in Federated Learning Systems

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 148-155, IEEE, 2024.

  5. Vinit Vikas Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski

    Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

    In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.

  6. Paul Flammarion; Sajjad Parvin; Frank Sill Torres; Rolf Drechsler

    Auto-OPS: A Framework For Automated Optical Probing Simulation on GDS-II

    In: IEEE Embedded Systems Letters (ESL), IEEE, 2024.

  7. Sallar Ahmadi-Pour; Rolf Drechsler

    MicroRV32, A RISC-V Platform for Education and Research

    In: 1st Soft RISC-V Systems Workshop (SRvS Workshop). Soft RISC-V Systems Workshop (SRvS-2025), November 7-8, Online, 2024.

  8. Fatemeh Shirinzadeh; Kamalika Datta; Saeideh Shirinzadeh; Abhoy Kole; Rolf Drechsler

    Towards Formal Verification for MAC-based In-Memory Computing

    In: 33th IEEE Asian Test Symposium (ATS 2024). Asian Test Symposium (ATS-2025), December 17-20, Ahmedabad, India, 2024.

  9. Dev Narayan Yadav; Phrangboklang Lyngton Thangkhiew; F Lalchhandama; Kamalika Datta; Rolf Drechsler; Indranil Sengupta

    Improving Self-Fault-Tolerance Capability of Memristor Crossbar Using a Weight-Sharing Approach

    In: 33th IEEE Asian Test Symposium (ATS 2024). Asian Test Symposium (ATS-2024), December 17-20, Ahmedabad, India, 2024.

  10. Yousef Koka

    Learn2Clean Event Data

    Mastersthesis, German University in Cairo, 8/2024.

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