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| Link zu diesem Datensatz | https://d-nb.info/137418893X |
| Titel | Database and Expert Systems Applications - DEXA 2025 Workshops : AISys and AI4IP, Bangkok, Thailand, August 25–27, 2025, Proceedings / edited by Lukas Fischer, Ulrich Göhner, Sebnem Gül-Ficici, Dirk Jacob, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Person(en) |
Fischer, Lukas (Herausgeber) Göhner, Ulrich (Herausgeber) Gül-Ficici, Sebnem (Herausgeber) Jacob, Dirk (Herausgeber) Anderst-Kotsis, Gabriele (Herausgeber) Tjoa, A Min (Herausgeber) Khalil, Ismail (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, X, 116 p. 46 illus., 39 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-02002-4 Printed edition:: ISBN: 978-3-032-02004-8 |
| Inhalt | -- AI System Engineering: Math, Modelling and Software. -- Exploring the benefits of iterative retrieval-augmented generation for risk mitiga tion in LLM response. -- TrustAI: Designing and Implementing a Trustworthy and User-Centered AI Plat form. -- Collaborative Trustworthy Foundation Model Framework: An Environmental Sustainability Use-Case to Detect Contamination Objects in Organic Waste Streams. -- Optimisation of Industrial Production with AI Algorithms. -- Efficient Federated Learning Integration into Existing MLOps Pipelines via Centralized Model Management. -- Deep Photometric Stereo for Tool Wear Inspection. -- Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control. -- Deep learning-based defect detection in laser powder bed fusion. -- Prediction of CNC Manufacturing Time Under Real-World Conditions Using Graph Convolutional Networks. -- A Vision-Guided Approach to Pick-and-Place Robotics: From Assembly Drawings to Industrial Assembly Automation. -- Towards Real-time Tool Wear Detection on Edge Devices: A Lightweight Di mensionality Reduction Approach for Spindle Integrated Cutting Force Sensor Data. -- Energy Optimized Piecewise Polynomial Approximation Utilizing Modern Ma chine Learning Optimizers |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2508190405554.334375170662 DOI: 10.1007/978-3-032-02003-1 |
| URL | https://doi.org/10.1007/978-3-032-02003-1 |
| ISBN/Einband/Preis | 978-3-032-02003-1 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Communications in Computer and Information Science ; 2615 |
| DDC-Notation | 005.74 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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