Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
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 project implements CLAM (CNN-LSTM-AM), a hybrid deep learning model combining Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and an Attention Mechanism (AM) for ...
Abstract: Time series forecasting using historical data is significantly important nowadays. Many fields such as finance, industries, healthcare, and meteorology use it. Profit analysis using ...
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 ...