A5027769600- Parallel Computing and Optimization Techniques
- Cloud Computing and Resource Management
- Advanced Database Systems and Queries
- Artificial Intelligence in Healthcare and Education
- Vehicle License Plate Recognition
- Architecture and Computational Design
- Manufacturing Process and Optimization
- Explainable Artificial Intelligence (XAI)
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Design Education and Practice
- Railway Engineering and Dynamics
- Machine Learning in Healthcare
- Infrastructure Maintenance and Monitoring
Hasso Plattner Institute
2019-2024
University of Potsdam
2019-2024
Joints are crucial to laser cutting as they allow making three-dimensional objects; mounts because embedding technical components, such motors. Unfortunately, and joints tend fail when trying fabricate a model on different cutter or from material. The reason for this lies in the way hold objects place, which is by forc-ing them into slightly smaller openings. Such "press fit" mechanisms unfortunately susceptible small changes diameter that occur switching ma-chine removes more less material...
In this paper, we present a hybrid classifier built by combining object detection (YOLOv5) and signal aspect through traditional image processing routines. The is part of our test automation toolchain. It intended to be used for monitoring railway signals in end-to-end integration scenarios when bringing interlockings into service. field tests, have successfully demonstrated recognition classification aspects German KS UK running signals. provides distance metrics the position, radius, color...