In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

This work proposes a novel embedding encoder-decoder (EED), and a convolutional neural network (CNN) is used as decoder. The CNN structure is good at detecting local patterns, which can be exploited ...

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 ...