In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...

"I want to predict tomorrow's sales to decide how much stock to prepare. Since sales change depending on the 'temperature,' I should be able to predict it using the simple regression analysis from ...

This is the offical implementation of paper Quasi-Dense Similarity Learning for Multiple Object Tracking. We present a trailer that consists of method illustrations and tracking visualizations. Our ...