Predictive Modeling of Vehicle CO<sub>2</sub> Emissions Using Machine Learning Techniques: A Comprehensive Analysis of Automotive Attributes-Reference-Cited by-同舟云学术

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Predictive Modeling of Vehicle CO₂ Emissions Using Machine Learning Techniques: A Comprehensive Analysis of Automotive Attributes

Published:2023-11-01 Issue: Volume:9 Page:511-516
ISSN:
Container-title:2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
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Author:

Satpute Babasaheb S.¹,Bharati Rajesh²,Rahane Wasudeo P.³

Affiliation:

1. JAIN (Deemed to be University),School of Engg. & Technology,Dept. of Computer Science and Engg.,Bangalore,India

2. Dr.D.Y.Patil Institute of Technology,Dept. of Computer Engg.,Pune,India

3. STES's NBN Sinhgad, School of Engg.,Dept. of Information Technology,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389811/10389819/10390183.pdf?arnumber=10390183

Reference25 articles.

1. A Cointegration Analysis of Real GDP and CO2 Emissions in Transitional Countries

2. Impact of urbanization and energy consumption on CO2 emissions in Bangladesh: an ARDL bounds test approach;Rayhan;International Journal of Scientific and Engineering Research,2018

3. CO2 emission and economic growth in Algeria

4. Modeling the nexus between carbon emissions, energy consumption, and economic progress in Pakistan: Evidence from cointegration and causality analysis

5. The relationship between energy consumption, economic growth, and carbon dioxide emission: The case of South Africa;Khobai;International Journal of Energy Economics and Policy,2017

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