From mind-bending plots that have numerous flashforwards and flashbacks, to intricate plots about time travel that span generations, TV shows today want their viewers to sit in rapt attention.

It consists of two main parts: an encoder driven by the ResNet deep learning framework, and a motion estimator, powered by the Long-Short Term Memory (LSTM) neural network.

In this paper we have proposed a new model in which the stochastic resonance technique is used to include white noise in the cell state and hidden state vectors of the LSTM model. A novel attention ...

Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for multi-step ...