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Real-Time MR Boosts Flood Risk Visualization, Public Safety - Vimarsana News

Real-Time MR Boosts Flood Risk Visualization, Public Safety

A research group at Osaka University developed a mixed reality (MR) system to intuitively share flooding forecasts. This system can be visualized on a

Using a machine learning to model dead zones in lakes - Vimarsana News

Using a machine learning to model dead zones in lakes

Aquatic ecosystems are complex environments that can be affected by many variables, including weather, the biological activities of the organisms living within them, and anthropogenic nutrient pollution. The influence these variables may have on aquatic ecosystems can also depend on the characteristics of the water body, such as temperature and depth. These interconnected processes can be tipped out of balance with devastating consequences.

Source: phys.org
Navigating the Polycrisis: Excerpt - Vimarsana News

Navigating the Polycrisis: Excerpt

The goal of this book is thus to develop a new way of thinking about planetary futures that can help us create more useful and comprehensive maps of the possibility space.

Stevens researchers take aim at weather forec - Vimarsana News

Stevens researchers take aim at weather forec

Anyone who’s been caught in an unexpected downpour knows that weather forecasting is an imperfect science. Now, researchers at Stevens Institute of Technology are taking aim at one of meteorologists’ biggest blind spots: extremely short-term forecasts, or nowcasts, that predict what will happen in a given location over the next few minutes.

Research Highlights Scientific Framework for Forecasting Mine-Water Risk - Vimarsana News

Research Highlights Scientific Framework for Forecasting Mine-Water Risk

Researchers used Bayes discriminant analysis and Fisher discriminant analysis (FDA) to create a mine-water source-identification model, and they evaluated the different models’ relevant circumstances, sample size, accuracy, and identification capabilities.