Using a real operational dataset from Deutsche Bahn, a schedule of 190 trips across five German cities translating into roughly 98,500 possible cycles, the two organizations developed and tested a ...
Machine-learning algorithms are 13% more accurate in predicting the surgical time needed in the operating room compared with human schedulers. The finding, published this month in the Annals of ...
IQM has published the results of a research collaboration with Deutsche Bahn exploring how quantum computing can improve railway scheduling. Using a real operational dataset from Deutsche Bahn, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results