This is an application of "Attention-based LSTM for Aspect-level Sentiment Classification" by Yequan Wang, Minlie Huang, Li Zhao, and Xiaoyan Zhu. The Attention-based LSTM with Aspect Embedding ...
This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
Abstract: Power load forecasting is the foundation of maintaining power grid stability, and can assist in decision-making to reduce operating costs. Fine-grained long sequence load forecasting ...
Abstract: The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) technologies is proposed to meet the demands of data rate, latency, and connectivity in ...