Advances in deep learning for human activity recognition have been relatively limited due to the lack of large labelled datasets.
We consider a three-dimensional wideband THz channel by incorporating the joint effect of molecular absorption, high sparsity, and multi-path fading, and consider the carrier frequency offset in multi-carrier systems.
Typically, there are several questions for each text that correspond to it.
A shared task is a typical question answering task that aims to test how accurately the participants can answer the questions in exams.
In this paper, we present a system that uses a convolutional neural network with long short-term memory (CNN-LSTM) model to complete the task.