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High-fidelity simulation of extreme high-gravity shock environments is crucial for aerospace and defense applications, yet achieving spectral consistency between laboratory pulses and real-world shocks remains challengin...

This study presents a simulation-based evaluation of a hybrid fiber Bragg grating (FBG) temperature estimation framework combining the extended Kalman filter (EKF) and unscented Kalman filter (UKF) for electric vehicle (...

We demonstrate transfer learning as a tool to improve the efficacy of training deep learning models based on residual neural networks (ResNets). Specifically, we examine its use for study of multi-scale electrically larg...