Spin-transfer torque random-access memory (STT-RAM) is gaining momentum as a promising technology for high-density and embedded nonvolatile memory. Owing to random thermal fluctuations, switching ...

We propose a multi patterns memory model discovering various dependency patterns for short-term multivariate time series forecasting to fill the gap. The proposed model is structured around two key ...

We transformed data into free text, extracted text information and made classification prediction by using the Long Short-Term Memory (LSTM) model. We compared it with the existing signal detection ...