Description
Book Synopsis.- 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.
