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Publications

Displaying results 761 to 770 of 14699.

  1. Roman Heinrich; Carsten Binnig; Harald Kornmayer; Manisha Luthra

    Costream: Learned Cost Model for Operator Placement in Edge-Cloud Environments

    In: 40th IEEE International Conference on Data Engineering (ICDE 2024) (recently accepted). IEEE International Conference on Data Engineering (ICDE-2024), May 13-17, Netherlands, Pages 1-14, IEEE, 2024.

  2. Manisha Luthra; Andreas Kipf; Matthias Böhm

    A Tutorial Workshop on ML for Systems and Systems for ML

    In: Birgitta König-Ries; Stefanie Scherzinger; Wolfgang Lehner; Gottfried Vossen. BTW 2023. Pages 707-708, ISBN 978-3-88579-725-8, Gesellschaft für Informatik e.V. Bonn, 2023.

  3. Mikhail Fomichev; Manisha Luthra; Maik Benndorf; Pratyush Agnihotri

    No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems

    In: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2023), Europe, Switzerland, DEBS '23, ISBN 9798400701221, Association for Computing Machinery, 2023.

  4. Manisha Luthra

    Network-centric Complex Event Processing: Adaptive, Efficient, and Flexible Placement and Execution of Internet of Things Applications

    PhD-Thesis, Technische Universität Darmstadt, TU prints, 9/2021.

  5. Manisha Luthra; Boris Koldehofe; Ralf Steinmetz

    Transitions for Increased Flexibility in Fog Computing: A Case Study on Complex Event Processing

    In: Informatik Spektrum, Vol. 42, No. 4, Pages 244-255, Springer, 2019.

  6. Emmanouil Vasilomanolakis; Jörg Daubert; Manisha Luthra; Vangelis Gazis; Alex Wiesmaier; Panayotis Kikiras

    On the Security and Privacy of Internet of Things Architectures and Systems

    In: 2015 International Workshop on Secure Internet of Things (SIoT). European Symposium on Computer Security (ESORICS), Austria, Pages 49-57, ISBN 978-1-4673-7769-0, IEEE, 2015.

  7. Alexander Pögelt; Katja Ihsberner; Norbert Pengel; Milos Kravcik; Martin Grüttmüller; Wolfram Hardt

    Individualised Mathematical Task Recommendations through Intended Learning Outcomes and Reinforcement Learning

    In: Angelo Sifaleras; Fuhua Lin (Hrsg.). Generative Intelligence and Intelligent Tutoring Systems. International Conference on Intelligent Tutoring Systems (ITS-2024), located at 20th International Conference, ITS 2024, June 10-13, Thessaloniki, Greece, Pages 117-130, Lecture Notes in Computer Science (LNCS), Vol. 14798, ISBN 978-3-031-63027-9, 978-3-031-63028-6, Springer, Cham, 6/2024.

  8. Noon Pokaratsiri; Saadullah Amin; Günter Neumann

    Towards Understanding Attention-based Reasoning through Graph Structures in Medical Codes Classification

    In: TextGraphs-17: Graph-based Methods for Natural Language Processing at ACL-2024. Annual Meeting of the Association for Computational Linguistics (ACL-2024), The 62nd Annual Meeting of the Association of Computational Linguistics, located at ACL, August 11-16, Bangkok, Thailand, ISBN 979-8-89176-145-2, Association for Computational Linguistics (ACL), 8/2024.

  9. Shubham Vyas; Marko Jankovic; Frank Kirchner

    Momentum based classification for robotic active debris removal

    In: Journal of Space Safety Engineering (JSSE), Vol. 9, No. 4, Pages 649-655, Elsevier, 2022.

  10. Arne Böckmann; Janosch Machowinski; Haider Khan Lodhi

    ugv_nav4d: Advanced Multi-Surface Navigation for Unmanned Ground Vehicles Using 4D Path Planning Techniques

    In: Journal of Open Source Software (JOSS), Vol. n.n. Pages n.n.-n.n. JOSS, 12/2024.

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