Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment

Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment

Abstract The transportation industry contributes significantly to climate change through carbon dioxide ( $$\hbox {CO}_{2}$$ CO 2 ) emissions, intensifying global warming and leading to more frequent and severe weather phenomena such as flooding, drought, heat waves, glacier melting, and rising sea...

Full description

Saved in:
Bibliographic Details
Main Authors: Gazi Mohammad Imdadul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, Yutaka Watanobe, Rashedul Islam, M. F. Mridha, Kamruddin Nur
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
CO2 emissions
CarbonMLP
EXplainable Artificial Intelligence
Vehicle attributes
Fuel consumption
Environmental sustainability.
Online Access:https://doi.org/10.1038/s41598-025-87233-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-87233-y

Similar Items