An Optimal Approach to Vehicular CO<sub>2</sub> Emissions Prediction using Deep Learning-Reference-Cited by-同舟云学术

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An Optimal Approach to Vehicular CO₂ Emissions Prediction using Deep Learning

Published:2023-03-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Emerging Smart Computing and Informatics (ESCI)
language:
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Author:

Sahay Shreejeet¹,Pawar Pranav²

Affiliation:

1. Atidiv (India) Private Limited,Pune,Maharashtra,India

2. BITS Pilani, Dubai Campus,Dubai,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099470/10099482/10099940.pdf?arnumber=10099940

Reference19 articles.

1. The Development of CO2 Instantaneous Emission Model of Full Hybrid Vehicle with the Use of Machine Learning Techniques

2. Machine Learning Application for Automotive Emission Prediction

3. Modelling of CO2 Emission Prediction for Dynamic Vehicle Travel Behavior Using Ensemble Machine Learning Technique

4. A Machine Learning Approach for Light-Duty Vehicle Idling Emission Estimation Based on Real Driving and Environmental Information;li;Environ Pollut Climate Change,2016

5. A practical model for predicting road traffic carbon dioxide emissions using Inductive Loop Detector data

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1. On the Use of Biofuels for Cleaner Cities: Assessing Vehicular Pollution through Digital Twins and Machine Learning Algorithms;Sustainability;2024-01-13

2. Prediction of Carbon Emissions from Thermal Power Plants Based on PCA-BiLSTM;2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS);2023-09-22

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