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| Autore: |
Fischer Lukas
|
| Titolo: |
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
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Edizione: | 1st ed. 2026. |
| Descrizione fisica: | 1 online resource (175 pages) |
| Disciplina: | 005.74 |
| Soggetto topico: | Database management |
| Data mining | |
| Data structures (Computer science) | |
| Information theory | |
| Software engineering | |
| Artificial intelligence | |
| Computer engineering | |
| Computer networks | |
| Database Management | |
| Data Mining and Knowledge Discovery | |
| Data Structures and Information Theory | |
| Software Engineering | |
| Artificial Intelligence | |
| Computer Engineering and Networks | |
| Altri autori: |
GöhnerUlrich
Gül-FiciciSebnem
JacobDirk
KotsisGabriele
TjoaA Min
KhalilIsmail
|
| Nota di contenuto: | -- 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. |
| Sommario/riassunto: | This volume constitutes the refereed proceedings of the 7th International Workshop on AI System Engineering: Math, Modelling and Software, AISys 2025 and the First International Workshop on Optimisation of Industrial Production with AI Algorithms, AI4IP, co-located with the 36th International Conference on Database and Expert Systems Applications, DEXA 2025, which took place in Bangkok, Thailand, during August 25-27, 2025. The 11 full papers were thoroughly reviewed and selected from a total of 23 submissions. They are organized in topical sections as follows: AI System Engineering: Math, Modelling and Software; and Optimization of Industrial Production with AI Algorithms. |
| Titolo autorizzato: | Database and Expert Systems Applications - DEXA 2025 Workshops ![]() |
| ISBN: | 3-032-02003-4 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911047670603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |