Database and Expert Systems Applications - DEXA 2025 Workshops (eBook, PDF)

AISys and AI4IP, Bangkok, Thailand, August 25-27, 2025, Proceedings
Redaktion: Fischer, Lukas; Khalil, Ismail; Tjoa, A Min; Kotsis, Gabriele; Jacob, Dirk; Gül-Ficici, Sebnem; Göhner, Ulrich

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 116
• Erscheinungstermin: 18. August 2025
• Englisch
• ISBN-13: 9783032020031
• Artikelnr.: 75229122

Inhaltsangabe

.- 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.