Tracking down the right algorithms for successful multilabel product classification
SDCS-BW: 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 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 […]
Evaluation of methods for automatic reconfiguration of transport drones.
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
Predicting people flows when only short-term training data is available
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