Estimation of CO<sub>2</sub> Emissions in Transportation Systems Using Artificial Neural Networks, Machine Learning, and Deep Learning: A Comprehensive Approach

Estimation of CO<sub>2</sub> Emissions in Transportation Systems Using Artificial Neural Networks, Machine Learning, and Deep Learning: A Comprehensive Approach

This study focuses on estimating transportation system-related emissions in CO<sub>2</sub> eq., considering several socioeconomic and energy- and transportation-related input variables. The proposed approach incorporates artificial neural networks, machine learning, and deep learning alg...

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Bibliographic Details
Main Author:	Seval Ene Yalçın
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Systems
Subjects:	artificial neural networks deep learning machine learning CO<sub>2</sub> emissions transport systems forecasting
Online Access:	https://www.mdpi.com/2079-8954/13/3/194
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