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Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision
We demonstrate our approach on two products: machining tools and rotating X-ray anodes.
Data-Centric Artificial Intelligence
Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm emphasizing that the systematic design and engineering of data is essential for building effective and efficient AI-based systems.
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
For this purpose, we consider the design of such systems from a hybrid intelligence (HI) perspective and aim to derive prescriptive design knowledge for CV-based HI systems.
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry
Sustainability is the key concept in the management of products that reached their end-of-life.
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
Convolutional neural networks have shown to achieve superior performance on image segmentation tasks.
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime
Bin full events are the major reason for Reverse Vending Machine (RVM) downtime at the world leader in the RVM market.
