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S. Naveen

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Jul 2026

Fractional physics-informed neural network approach to inverse problems in epidemiological modeling

This study proposes a Fractional-Order Physics-Informed Neural Network (FPINN) framework for solving inverse parameter estimation problems in both fractional SIR and augmented SEIR epidemiological models and demonstrates that the proposed method accurately reconstructs epidemic trajectories and captures the influence of memory effects on disease evolution.

S. Naveen, V. Parthiban · 0 citations