GitHub

Inflation Forecasting with ARIMA and LSTM

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 ...
GitHub

CLAM: CNN-LSTM-AM Stock Price Prediction Model

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 ...
IEEE

Vehicle Trajectory Prediction Using Hierarchical LSTM and Graph Attention Network

Abstract: Vehicle trajectory prediction (VTP) is an important task that can enhance the safety and efficiency of autonomous driving. However, existing VTP methods often struggle to fully extract ...
IEEE

Hybrid LSTM–Transformer Model for the Prediction of Epileptic Seizure Using Scalp EEG

Abstract: Epilepsy is a recurrent neurological disorder, and nearly 30% of patients with epilepsy continue to experience symptoms despite taking anti-epileptic drugs. Predicting epileptic seizures ...