ROCHELLE PARK, N.J., Sept. 8, 2025 /PRNewswire/ -- Intelligent Audit, a leading freight audit, pay, and intelligence provider ...

We consider training machine learning models using data located on multiple private and geographically-scattered servers with different privacy settings. Due to the distributed nature of the data, ...

Machine learning algorithms are resource intensive processes that require large computing resources. The increasing demand for these resources has highlighted the need for a cost-effective solution in ...

In comparison, the identification of exchangeable heavy metal (loid) concentrations is advantageous regarding risk and costs. This study demonstrates that the total heavy metal (loid) concentration ...

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools). This is a model based on ...

Adsorbent injection is the most promising technology for solving anthropogenic mercury (mainly Hg0) emission from stationary sources. Carbon-based adsorbents have strong potential for Hg0 removal due ...