Analyzing vehicle emissions using a hybrid machine learning approach using weighted average based k-means clustering for sustainable transportation decision-making

Analyzing vehicle emissions using a hybrid machine learning approach using weighted average based k-means clustering for sustainable transportation decision-making

In today’s world, the heavy reliance on crude oil for transportation has significant environmental implications, contributing to air pollution and greenhouse gas emissions, exacerbating global climate change and posing health risks. As environmental sustainability concerns grow, there is a need to e...

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Bibliographic Details
Main Authors: Mohd Mobasshir, Praveen Pachauri, Pratibha Kumari, Faisal Khan, Azhar Equbal, Osama Khan, Mohd Parvez, Taufique Ahamad, Shadab Ahmad
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-07-01
Series:Green Technologies and Sustainability
Subjects:
Biodiesel
Diesel engine
Carbon Footprint
Hybrid vehicle
Energy efficiency
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2949736124000903
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