The study AI Solutions for Improving Sustainability in Water Resource Management, published in Sustainability, offers a systematic, evidence-based examination of AI applications across the water ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...