Application of Machine Learning for Carbon Sequestration Estimation in Motor Vehicles.

Author

Mufumi, N.

Title

Application of Machine Learning for Carbon Sequestration Estimation in Motor Vehicles.

Abstract

The rapid increase in carbon emissions from motor vehicles has become a critical environmental challenge, contributing significantly to climate change and air pollution. In response, carbon sequestration—the process of capturing and storing atmospheric carbon dioxide (CO₂)—has garnered attention as a strategy for mitigating environmental impact. This study explores the application of machine learning algorithms to estimate carbon sequestration potential in motor vehicles, specifically focusing on optimizing vehicle operation patterns and improving efficiency. Machine learning offers a powerful toolkit for analyzing complex data patterns, enabling accurate predictions and actionable insights for reducing emissions.

Date

2024

Publisher

BUSE

Keywords

Machine Learning

Carbon Sequestration Estimation

Motor Vehicles

Supervisor

Mr Chaka