Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...

One drawback of working for so long in the data industry is that I often misjudge what people think about when they think about data. Particularly, I've observed a common misunderstanding about ...

This study will identify methods state and local decision makers can use to assess equity impacts of surface transportation investments. The study committee will identify and advise on opportunities ...

Background The increasing global burden of long-term illnesses necessitates high-quality data to inform effective interventions, particularly in low-resource settings. Despite the critical role of ...