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Using Neural Networks by Modelling Semi-Active Shock Absorber
A permanently increasing number of on-board automotive control systems requires new approaches to their digital mapping that improves functionality in terms of adaptability and robustness as well as enables their easier on-line software update.
Boosting Mask R-CNN Performance for Long, Thin Forensic Traces with Pre-Segmentation and IoU Region Merging
Mask R-CNN has recently achieved great success in the field of instance segmentation.
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