Abstract: In this proposed research, an ANN with Bayesian regularization for forecasting heat transfer rates in Spiral Tube Heat Exchangers (STHEs) is presented. Nonetheless, the objective is to ...

Abstract: This research study reviews the statistical fundamentals of machine learning with a focus on Bayesian methods to quantify the uncertainty in model predictions. Bayesian statistics provides a ...

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 ...