To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points ...
Overview: Model development requires structured deployment and monitoring to remain reliable over time.Consistent data and environment control prevent accuracy ...
The field of plant systems and synthetic biology is being revolutionized by transformative advances in computational biology, ...
The University of Connecticut has partnered with Eversource, the state’s lead energy provider, in a research effort to predict extreme weather events and their effects on energy systems and ...
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
When Hurricane Melissa spun up unexpectedly in the Atlantic earlier this month, traditional forecasting models were caught off guard by its rapid intensification. Yet weather models using artificial ...
In addition to hurricanes, AI is being trained to predict and manage such natural disasters as earthquakes, floods and forest ...
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