Machine-learning-based carbon dioxide concentration prediction for hybrid vehicles
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 …
limited, due to the complexity of the constant changes in their power-train sources. This …
Deep learning model based CO2 emissions prediction using vehicle telematics sensors data
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 …
greenhouse gases has resulted in a continuous increase in the temperature of the …
An Optimal Approach to Vehicular CO2 Emissions Prediction using Deep Learning
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 …
Organisations and Au-thorities all across the world, are now taking important steps to tackle …
Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
S Moon, J Lee, HJ Kim, JH Kim, S Park - International Journal of …, 2024 - Springer
EU is actively moving towards the implementation of Euro-7 regulations, thus placing a
strong emphasis on real-road emissions. Euro-7 introduced OBM (on-board monitoring) …
strong emphasis on real-road emissions. Euro-7 introduced OBM (on-board monitoring) …
Forecasting carbon dioxide emissions of light-duty vehicles with different machine learning algorithms
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 …
materials and stringent emission control techniques on climate change, particularly in the …
A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of CO Emission in Cars
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 …
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …
Toward a Machine Learning Approach to Predict the CO2 Rating of Fuel-Consuming Vehicles in Canada
Global warming is becoming a major concern for almost all countries nowadays. Burning
fossil fuels, most of which by vehicles is the main cause of increasing toxic CO 2 in the air we …
fossil fuels, most of which by vehicles is the main cause of increasing toxic CO 2 in the air we …
A Predictive Analysis on CO2 Emissions in Automobiles using Machine Learning Techniques
MS Manvitha, MV Pujitha, NH Prasad… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
1.80 metric tonnes of CO 2 are emitted by citizens in India, which is highly detrimental to all
living beings. Climate change and glacier melting are the results of CO 2 emissions. Sea …
living beings. Climate change and glacier melting are the results of CO 2 emissions. Sea …
A Deep Learning Micro-Scale Model to Estimate the CO2 Emissions from Light-Duty Diesel Trucks Based on Real-World Driving
R Zhang, Y Wang, Y Pang, B Zhang, Y Wei, M Wang… - Atmosphere, 2022 - mdpi.com
On-road carbon dioxide (CO2) emissions from light-duty diesel trucks (LDDTs) are greatly
affected by driving conditions, which may be better predicted with the sequence deep …
affected by driving conditions, which may be better predicted with the sequence deep …
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 …
contributes to atmospheric changes and climate disturbances. Consequently, people are …