Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...

Abstract: This paper presents a comprehensive approach for forecasting weather parameters such as temperature, humidity, and wind speed, using ML and DL techniques. The dataset with weather data ...

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 ...