Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...
We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...
Abstract: One of the most important and lethal natural disasters of this century is flooding. The deficiency of a comprehensive flood forecasting system has resulted in significant losses of life and ...
Over the Fourth of July holiday weekend, catastrophic flooding took the lives of more than 130 people across the Hill Country and Central Texas. This page is dedicated to honoring the memories of ...
Abstract: Identifying regions susceptible to co-occurring flash floods and landslides is essential for devising effective mitigation strategies and minimizing future impacts, particularly in urbanized ...
The most recent Korean global hit by Netflix, The Great Flood, has people mulling over the essence of consciousness and being. What initially looks like a simple catastrophe thriller becomes an ...
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