We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Abstract: Predictive Process Monitoring (PPM) techniques leverage incomplete execution traces and historical event logs to predict outcomes, activities, and remaining time in ongoing processes.
Abstract: Conflating/stitching 2.5-D raster digital surface models (DSMs) into a large one has been a running practice in geoscience applications; however, conflating full-3-D mesh models, such as ...
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