Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data. While prior examples have demonstrated ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Current laboratory studies on the impact of biomaterial properties on immune responses often focus on single or limited combinations of features, providing an incomplete picture.In a recent work ...