Comparative Study of Markov Chain With Recurrent Neural Network for Short Term Velocity Prediction Implemented on an Embedded System

The paper compares six models (Markov Chain-based and RNN-based) for short-term vehicle speed prediction, focusing on accuracy and execution time in embedded systems. Markov models are simpler but less accurate, while GRU (a type of RNN) achieves the best accuracy but requires more computation.

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