This paper describes the utilization of artificial intelligence (AI) techniques to identify an
optimal machine learning (ML) model for predicting dodecane fuel consumption in diesel …

Predictive modeling is important for assessing and reducing energy consumption and CO2
emissions of light-duty vehicles (LDVs). However, LDV emission datasets have not been …

In this article, an experimental investigation is done to study the impact of carbon dioxide
(CO2) vehicle emissions on global climatic changes. The dataset for the analysis is taken …

I hereby certify that all of the material, papers, analyses, and results given in this thesis are in
accordance with the academic norms and ethical principles established by the Institute of …

This research paper delves into the intricate relationship between population size and
carbon emissions, focusing on a comparative analysis between developed and developing …

The goal of this research is to determine a vehicle's fuel type depending on the kind of
vehicle, its attributes, and its CO2 emissions. The Canadian government gathered data for …