IEEE

Stock Price Prediction using LSTM with Toeplitz Matrix-Driven Feature Extraction for Enhanced Forecasting Accuracy

Abstract: The research methodology studies the use of Long Short-Term Memory networks in predicting stock prices, with the case of Tata Motors' historical price data reporting. A unique aspect of this ...
IEEE

Hybrid SARIMA+BO-LSTM Framework for Forecasting EV Adoption: A Road to Net-Zero in Ireland

Abstract: Reducing greenhouse gas (GHG) emissions from the transport sector is central to achieving Ireland’s national climate goals. To support the Climate Action Plan target of registering 945,000 ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

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 ...
Hosted on MSN

How confusion sounds at every era

How confusion sounds at every era !! Fact check: Trump repeats numerous false claims in prime-time address World's tallest teen sets new basketball record A US startup building a radical 'flying wing' ...