Thanks to in-depth data that Arapahoe County has been collecting since the fall, they will have a better idea of what fire conditions look like when things start to heat up. ARAPAHOE COUNTY, Colo. — ...

In recent years, with the success of deep learning ... prediction accuracy. (2) On the contrary, the optimal beam can be precisely predicted with low computational costs under line of sight (LOS) ...

That’s a huge problem due to some tiny pollutants. Wildfire smoke contains very dangerous pollutants called PM2.5 that can travel deep into the lungs or enter the bloodstream when inhaled.

“By integrating quantum computing with our AI drone systems, we can process massive volumes of atmospheric and terrain data to provide near real-time wildfire predictions and response strategies ...

With fire seasons growing longer and more dangerous across Southern Europe and the Mediterranean, researchers have developed and assessed a new deep learning framework that ... 64×64 pixel burned area ...

In this paper, a Fire Hawk Optimization ... on the hybrid cloud container architecture for migrating interoperability based applications This FHOEDLS achieves the load prediction through the ...