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Exploring Tiny Recursive Models for Time- Series Regression: Battery State-of-Health Prediction
Battery state-of-health (SoH) prediction is difficult because degradation depends on long, noisy histories of voltage, current, and temperature, while embedded battery-management systems impose tight memory budgets. This thesis adapts the Tiny Recursive Model (TRM), originally proposed for symbolic
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