T. L. Rangaiah

A Hybrid Autoencoder with Temporal Fusion Transformer Model for Accurate Dust Prediction in Mining Environments

This study presents a systematic framework for data analysis and dust prediction using Machine Learning (ML) techniques. The Air Experimental Dataset is used to collect input data, which is then preprocessed using advanced missing value handling and data cleaning to increase the quality and dependability of the data. M...