State-of-the-art explainability methods with focus on visual analytics showcased by glioma classification
This study aims to reflect on a list of libraries providing decision support to AI models. The
goal is to assist in finding suitable libraries that support visual explainability and …
goal is to assist in finding suitable libraries that support visual explainability and …
Towards flexible and cognitive production—addressing the production challenges
Globalization in the field of industry is fostering the need for cognitive production systems. To
implement modern concepts that enable tools and systems for such a cognitive production …
implement modern concepts that enable tools and systems for such a cognitive production …
MEDEP: Maintenance event detection for multivariate time series based on the PELT approach
Predictive Maintenance (PdM) is one of the most important applications of advanced data
science in Industry 4.0, aiming to facilitate manufacturing processes. To build PdM models …
science in Industry 4.0, aiming to facilitate manufacturing processes. To build PdM models …
Impact of interdependencies: Multi-component system perspective toward predictive maintenance based on machine learning and XAI
Taking the multi-component perspective in Predictive Maintenance (PdM) is one promising
approach to improve prediction quality. Therefore, detection and modeling of …
approach to improve prediction quality. Therefore, detection and modeling of …
[PDF][PDF] No Time to Crash: Visualizing Interdependencies for Optimal Maintenance Scheduling
With the digital transformation in manufacturing, Predictive Maintenance (PdM) is
increasingly proposed as an approach to increase the efficiency of manufacturing …
increasingly proposed as an approach to increase the efficiency of manufacturing …