IEEE

Interactive Vehicle Trajectory Prediction Based on Parameterized Transfer Learning Using Encoder–Decoder Network

Abstract: Vehicle trajectory prediction is important for automated vehicles to understand driving scenarios. This paper proposes an encoder-decoder network-based parameterized transfer learning ...
New York Post

Citizens are fed up with Dem-invited migrants who have disdain for US law and culture

It is hard now even for Democrats to defend illegal immigration, given that the Biden administration allowed in more than 10 million entrants. Among them were an estimated 500,000 criminals. No one ...
IEEE

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of this process; ...
GitHub

LSTM-based Sequence-to-Sequence Chatbot

Long Short-Term Memory (LSTM) network with sequence-to-sequence architecture for building conversational chatbots with attention mechanism. lstm-chatbot/ ├── README.md ├── FEATURES.md # Additional ...