The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...