Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
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 ...
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 ...
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 ...
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 this article, we proposed a neural network-based model predictive control (MPC) of piezoelectric motion stages (PEMAs) for autofocus (AF). Rather than using an internal controller to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results