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This paper proposes a Metamorphic Artificial Age Score (AAS) decision-support prototype for flight-log-based drone propeller health monitoring, using a multi-indicator approach to evaluate propeller health and prioritize maintenance.
This paper proposes a long-run persistence framework for AI systems using a redundancy-adjusted Artificial Age Score (AAS), showing that indefinite cyclic operation need not lead to unbounded structural aging.