The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
MFIs rely on standardized interest rate systems that treat borrowers uniformly, regardless of the individual likelihood of ...
Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...
Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...
Cancer researchers at the University of Tennessee Health Science Center have published three new studies demonstrating how ...
A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...
Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...
An interdisciplinary study released recently has revealed how artificial intelligence and data science can help preserve endangered indigenous cultural ...
Tested across eight lettuce types, the system successfully visualizes pigment spatial distribution from individual leaves to full canopies, offering a ...
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