Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Researchers developed a nonlinear viscoelastic-plastic model to accurately forecast mining-induced subsidence, ensuring safer ...

It's difficult enough to produce single words from brain activity, but what researchers are doing in this case is attempting ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

The technology works like a translator, not a mind reader – It converts brain scan patterns into coherent sentences by ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

Part one of this three-part series examines the rational for using control technology to reduce process variability ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

With the rapid advancement of wireless communication technologies and electronic devices, electromagnetic interference (EMI) has emerged as a critical ...