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A Time-Series AI Framework for Predictive Risk Assessment from Heterogeneous Sensor Data

This paper presents a time-series AI framework for predictive risk assessment using heterogeneous, irregularly sampled sensor data. The framework targets monitoring scenarios in which environmental covariates are available at high frequency, while the target variable is sparse, delayed, or obtainable only through labor...