The models implemented include Recurrent Neural Networks (RNN), Long Short-Term Memory networks (LSTM), and Gated Recurrent Unit networks (GRU). The project employs sophisticated data preprocessing, ...

This is a TensorFlow implementation of the GCN-GRU model as described in our paper: Xujiang Zhao, Feng Chen, Jin-Hee Cho [Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data], ...

This paper proposes a novel hybrid model of Convolutional Neural Networks and Gated Recurrent Units (CNN-GRU) model for improved electric energy forecasting, integrating multi-scale Conv1D layers to ...