As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …

Laser powder bed fusion (LPBF) is one class of metal additive manufacturing (AM) used to
fabricate high-quality complex-shape components. This technology has significantly …

A major challenge when using k-means clustering often is how to choose the parameter k,
the number of clusters. In this letter, we want to point out that it is very easy to draw poor …

Abstract Machine learning is a branch of computer science that has the potential to transform
epidemiologic sciences. Amid a growing focus on “Big Data,” it offers epidemiologists new …

Customer churn prediction is very important for e-commerce enterprises to formulate
effective customer retention measures and implement successful marketing strategies …

Abstract Machine learning (ML) has proven to be a useful technology for data analysis and
modeling in a wide variety of domains, including food science and engineering. The use of …

Database management system (DBMS) configuration tuning is an essential aspect of any
data-intensive application effort. But this is historically a difficult task because DBMSs have …

The rising significance of renewable energy increases the importance of representing time-
varying input data in energy system optimization studies. Time-series aggregation, which …

A growing body of scholarship has examined circular business models as a pathway
towards sustainability. However, employee skills to support such business models have …

The Industry 4.0 paradigm enables advanced data-driven decision-making processes
leading many manufacturers to a digital transformation. Within this context, Predictive …