Spatio-Temporal Agnostic Sampling for Imbalanced Multivariate Seasonal Time Series Data: A Study on Forest Fires
Sensors (Basel, Switzerland)（2025）
Key words
sensors,under-sampling,deep learning,big data analytics,natural fire disasters,climate change,evolving data,real-time data sampling,nearmiss,SMOTE,multivariate time series
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