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Pedestrian trajectory data, which can be used to mine pedestrian motion patterns or to model pedestrian dynamics, is crucial for indoor location‐based service studies and applications. However, researchers are faced with the challenges of data shortage and privacy restrictions when using pedestrian trajectory data. We present an Indoor Pedestrian Trajectory Generator (IPTG), which is a novel deep...
In order to find useful intervention strategies for the novel coronavirus (COVID‐19), it is vital to understand how the disease spreads. In this study, we address the modeling of COVID‐19 spread across space and time, which facilitates understanding of the pandemic. We propose a hybrid data‐driven learning approach to capture the mobility‐related spreading mechanism of infectious diseases, utilizing...