Industry 4.0
SDCS-BW: tracking down the right algorithms for successful multilabel product classification
Tracking down the right algorithms for successful multilabel product classification
Tracking down the right algorithms for successful multilabel product classification
Machine learning for predictive causal analysis of risk factors across investment portfolios.
Detect the position of the dimension and provide the angle information of the detected positions
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
Evaluation of methods for automatic reconfiguration of transport drones.
Development of new technologies for the infrastructure-based collection of traffic data
Distributed evaluation of high-frequency measurement data from industrial production for quality optimization and condition monitoring
Service Assistant for Tax Consultants, Auditors and Lawyers at DATEV
The relationship between the start position, the search trajectory of the robot arm, and the average time spent
Intelligently predict sales volumes to reduce losses caused by inaccurate forecasts
The first step for better sales forecasting to prevent possible shortages on hot days
Better understanding of complex trading activities thanks to transaction analysis
A more accurate setting of the measurement characteristics and early identification of quality deviations
Show a method for determining target values for reducing the number of claims
