Graceful degradation and recovery can be achieved through a unified requirement-driven adaptation framework that automatically weakens and strengthens system requirements based on changing environmental conditions.
A novel method named PPT, utilizing uncertainty-aware transfer learning, prompt tuning, and pretraining, is effective in time-to-event analysis for both elevator and autonomous driving systems.