AI Learns to Read a Jet Engine’s Remaining Lifespan Through Noise and Uncertainty
Researchers have developed a physics-informed, uncertainty-aware graph neural network that predicts jet engine remaining useful life with record robustness under ...
Researchers have developed a physics-informed, uncertainty-aware graph neural network that predicts jet engine remaining useful life with record robustness under ...
Researchers have developed a hybrid particle-filter and neural network framework that predicts lithium-ion battery remaining useful life with 99.41 percent ...
Researchers at Korea Aerospace University have proposed a systematic framework that classifies reusable launch vehicle components by failure risk and ...
Researchers have developed an RBF neural network framework that combines physics-based trend monitoring with deep learning to detect, isolate, and ...
A new machine learning framework combines variational autoencoders with actor-critic deep reinforcement learning to sequentially estimate the remaining useful life ...
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© 2025 Scienmag - Science Magazine