An Optimal Approach to Vehicular CO2 Emissions Prediction using Deep Learning

S Sahay, P Pawar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
One of the biggest challenges faced by humanity today is climate change. Governmental
Organisations and Au-thorities all across the world, are now taking important steps to tackle …

Deep learning model based CO2 emissions prediction using vehicle telematics sensors data

M Singh, RK Dubey - IEEE Transactions on Intelligent Vehicles, 2021 - ieeexplore.ieee.org
Climate change is one of the greatest environmental hazards to mankind. The emission of
greenhouse gases has resulted in a continuous increase in the temperature of the …

A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of CO Emission in Cars

S Shah, S Thakar, K Jain, B Shah, S Dhage - Proceedings of Third …, 2023 - Springer
The most recent concern of all people on the Earth is the increase in the concentration of
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …

A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of Co2 Emission in Cars

S Shah, S Thakar, K Jain, B Shah, S Dhage - arXiv preprint arXiv …, 2022 - arxiv.org
The most recent concern of all people on Earth is the increase in the concentration of
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …

Machine-learning-based carbon dioxide concentration prediction for hybrid vehicles

D Tena-Gago, G Golcarenarenji, I Martinez-Alpiste… - Sensors, 2023 - mdpi.com
The current understanding of CO2 emission concentrations in hybrid vehicles (HVs) is
limited, due to the complexity of the constant changes in their power-train sources. This …

Machine learning application for automotive emission prediction

S Kangralkar, R Khanai - 2021 6th International Conference for …, 2021 - ieeexplore.ieee.org
Over the past years, the demand for transport infrastructure and automotive has increased
drastically. India is one of the world's largest market for automotive and contributes …

Transfer Learning-Enabled IoT System for Continuous Prediction of Vehicle CO2 Concentration

M Al Selek, D Tena-Gago… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
In this paper, we present the design, implementation, and deployment of an IoT-based
system for machine learning (ML)-based real-time prediction of CO 2 exhaust concentrations …

Predicting CO2 Emissions from Traffic Vehicles for Sustainable and Smart Environment Using a Deep Learning Model

AH Al-Nefaie, THH Aldhyani - Sustainability, 2023 - mdpi.com
Burning fossil fuels results in emissions of carbon dioxide (CO2), which significantly
contributes to atmospheric changes and climate disturbances. Consequently, people are …

Artificial Intelligence-based CO2 Emission Predictive Analysis System

S Yeasmin, SNJ Syed, LA Shmais… - … Artificial Intelligence & …, 2020 - ieeexplore.ieee.org
Smart cities aim for the optimization and enhancement of all domains of application, as well
as strive for more sustainable ecosystems. Emerging and disruptive technologies such as …

Forecasting carbon dioxide emissions of light-duty vehicles with different machine learning algorithms

Y Natarajan, G Wadhwa, KR Sri Preethaa, A Paul - Electronics, 2023 - mdpi.com
Accurate estimation of fuel consumption and emissions is crucial for assessing the impact of
materials and stringent emission control techniques on climate change, particularly in the …