53 citations · 70 across the 6 of their papers we have counts for
6 papers
Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision
Jannis Walk, Niklas Kühl, Michael Saidani +1
The usage and impact of deep learning for cleaner production and sustainability purposes remain little explored. This work shows how deep learning can be harnessed to increase sust…
Data-Centric Artificial Intelligence
Johannes Jakubik, Michael Vössing, Niklas Kühl +2
Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm emphasizing that the systematic design and engineering of data is essential for building effe…
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
Patrick Zschech, Jannis Walk, Kai Heinrich +2
Computer vision (CV) techniques try to mimic human capabilities of visual perception to support labor-intensive and time-consuming tasks like the recognition and localization of cr…
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry
Jannis Walk, Niklas Kühl, Jonathan Schäfer
Sustainability is the key concept in the management of products that reached their end-of-life. We propose that end-of-life products have -- besides their value as recyclable asset…
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
Alexander Treiss, Jannis Walk, Niklas Kühl
Convolutional neural networks have shown to achieve superior performance on image segmentation tasks. However, convolutional neural networks, operating as black-box systems, genera…
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime
Jannis Walk, Robin Hirt, Niklas Kühl +1
Reverse Vending Machines (RVMs) are a proven instrument for facilitating closed-loop plastic packaging recycling. A good customer experience at the RVM is crucial for a further pro…