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 ...

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 ...

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 ...

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 ...

Researchers have developed an artificial intelligence-based patient monitoring system they say can identify signs of clinical ...

On Friday the 22nd of May 2026, M.Sc. Juhani Kivimäki defends his PhD thesis on Confidence-based Performance Estimation in Machine Learning Model Monitoring. The thesis is related to research done in ...

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 ...

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 ...

Across Africa, a new generation of policy oriented technologists is beginning to redefine the relationship between governance, economic development, clean energy transition, and Artificial ...