A full-stack inflation-forecasting toolkit that pairs classical ARIMA diagnostics in Stata with an LSTM pipeline in Python. The project walks from raw CPI data ingestion and exploratory visualisation ...

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 ...

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: In recent years, exploration and exploitation of renewable energies are turning a new chapter toward the development of energy policy, technology and business ecosystem in all the countries.

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

直接给结论，不用。 甚至可以说，都要2026年了，如果你现在还抱着十年前的教材，非要先啃明白RNN，再搞懂LSTM里那个该死的遗忘门，最后才敢翻开Transformer的第一页，那你纯粹是在浪费生命。