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 …
Analysis and prediction model of fuel consumption and carbon dioxide emissions of light-duty vehicles
Due to the alarming rate of climate change, fuel consumption and emission estimates are
critical in determining the effects of materials and stringent emission control strategies. In this …
critical in determining the effects of materials and stringent emission control strategies. In this …
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 …
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 …
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 …
A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability
The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
A Microscopic Model of Vehicle CO₂ Emissions Based on Deep Learning—A Spatiotemporal Analysis of Taxicabs in Wuhan, China
It is important to assess environmental impact of intelligent transportation systems, and
hence developing a vehicle emission model with high accuracy has been a long-standing …
hence developing a vehicle emission model with high accuracy has been a long-standing …
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 …
Predicting CO2 Emissions by Vehicles Using Machine Learning
AS Chadha, Y Shinde, N Sharma, PK De - International Conference on …, 2022 - Springer
In the previous decade, the measure of CO2 outflows has seen a critical increment, this is
coming about to be a significant justification for environmental change. A significant …
coming about to be a significant justification for environmental change. A significant …