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 ...

A ML-based probabilistic clustering approach for optimal CH selection based on residual energy, node density, and average network energy; A sleep scheduling mechanism to deactivate redundant nodes in ...

Electrical services has evolved from reactive maintenance to advanced condition monitoring, utilizing real-time data 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 ...

A device for monitoring sweat and hydration based on a rigorous study from the University of Massachusetts Amherst is commercially available for the first time and ready to help protect "industrial ...

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 ...

SEATTLE--(BUSINESS WIRE)--Know Labs, Inc. (NYSE American: KNW) today announced results from a new study titled, “Novel data preprocessing techniques in an expanded dataset improve machine learning ...

An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

Ali Abedi (center) and the wireless soil moisture sensor with graduate student Kenneth Bundy (left) and local high school teacher Ed Lindsey (right). Monitoring soil moisture is an important component ...

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 ...

Modern supply chain AI solutions do just that. By ingesting massive quantities of supplier data into machine learning models, ...