Abstract: Crowd forecasting is a crucial component of public safety, urban planning, and event management, enabling proactive decision-making based on anticipated crowd dynamics. Traditional ...
Abstract: Recently, diffusion-based models have gained significant attention in multivariate time series anomaly detection. The motivation for this work arises from the observation that introducing a ...
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