Smart Data Solutions for Manufacturing SMEs in Baden-Württemberg
Smart Data Technologies
SDI-X
Smart Data Innovation processes, tools and operational concepts.
VDAR: Distributed Decentralized Autonomous Control Systems for Distributed Energy Markets
The VDAR-project goes back to the framework project “Software Campus” supported by the Federal Ministry of Education and Research (BMBF). In this project, the energy data from electricity grid (such as consumption data, capacity information, etc.) and electricity market (such as supply and demand, price information, etc.) are analyzed for evaluating the concept of a […]
Association Rule Mining for High Dimensional Master Data
There are various approaches to association rule mining in large data sets. Typical applications are in market basket analyses, medical diagnosis, biomedical literature, protein sequences, census data, logistic regression and fraud detection. There are not many known approaches to association rule mining for Master Data. However, Master Data are a key asset for enterprises today. […]
ABB
Association analysis for data-driven services based on industrial log files
Smart Brain Data Analyses — Machine Learning approach for a background segmentation of the 3D image volume of a brain tissue block
The project is based on a database of around 700 pictures that show consecutive tissue sections of the human brain – like those typically used in high-resolution 3D-modelling. Such 3D models are part of current top-level research projects at the research center in Jülich, such as the EU-flagship project “Human Brain Project”. The brain, underlying […]
SDCS-BW: tracking down the right algorithms for successful multilabel product classification
Tracking down the right algorithms for successful multilabel product classification
Risk Management 4.0 – Risk Analysis of Investment Assets
Machine learning for predictive causal analysis of risk factors across investment portfolios.
SDSC-BW: EDI
Detect the position of the dimension and provide the angle information of the detected positions
Evaluation of high-dimensional measurement data from industrial manufacturing for process monitoring and quality prediction
Published November 2019. Downtimes of machines and systems in manufacturing are expensive and should be avoided as far as possible. Process monitoring methods are suitable for detecting deviations from regular plant operation. As a result, malfunctions can be detected and remedied at an early stage. The challenge here lies in identifying the position of the […]
