Over the past 30 years, laser-assisted removal of unwanted material has become a common cleaning tool in Heritage conservation, often replacing conventional methods based on chemicals and mechanical ...

This paper facilitates proactive health management, advanced patient care, and early identification of possible health hazards by using MyWear. It is a wearable T-shirt that continuously monitors and ...

Combining satellite technology with machine learning may allow scientists to better track and prepare for climate-induced natural hazards, according to new research. Combining satellite technology ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

The terrestrial water cycle is a fundamental component of Earth's climate system, governing the exchange of water between land surfaces and the atmosphere.

The data delivered to Epicore Biosystems was then used to create machine-learning algorithms to refine the Connected Hydration technology. "We want to know: How much sweat is inside the device and how ...

Explore how machine learning enhances energy monitoring in smart homes with CEO Mike Phillips from Sense. This interview covers the application of AI in tracking energy use, detecting potential device ...

If you liked this story, share it with other people. Scientists have combined passive acoustic monitoring, machine-learning tools and aerial surveys to estimate the population of North Atlantic right ...

This 25-page handbook is written in a question-and-answer style and is a good starting point in understanding M&E. It provides an overview of some of the basic questions of project monitoring and ...