most citedSynthetic Trajectory Generation Through Convolutional Neural Networks

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CR2024★ 2 cited

Synthetic Trajectory Generation Through Convolutional Neural Networks

Jesse Merhi, Erik Buchholz, Salil S. Kanhere

Location trajectories provide valuable insights for applications from urban planning to pandemic control. However, mobility data can also reveal sensitive information about individ…