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Rainfall Classification in Genoa: Machine Learning Versus Adaptive Statistical Models Using Satellite Microwave Links

Monitoring rainfall is becoming increasingly important due to the impacts of climate change. In this context, opportunistic sensing based on satellite microwave links (SMLs) is gaining significant interest for its potential to provide real-time, low-cost, and valuable information. In this work, we d...

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Principais autores: Christian Gianoglio, Sara Zani, Matteo Colli, Daniele D. Caviglia
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2024-01-01
סדרה:IEEE Access
נושאים:
Satellite microwave links
rainfall prediction
machine learning
smart rainfall system
גישה מקוונת:https://ieeexplore.ieee.org/document/10676984/
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