Regression Analysis using Machine Learning Algorithms to Predict CO2 Emissions
LA Joshy, RK Sambandam… - … on Computing for …, 2024 - ieeexplore.ieee.org
Precise measurement of fuel consumption and emissions plays an important role in
evaluating the environmental effects of materials and stringent emission control methods …
evaluating the environmental effects of materials and stringent emission control methods …
CO2 Emission Rating by Vehicles using Supervised Algorithms
S Ramesh, SS IM, JJ Justus - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Personal vehicles play a significant role in contributing to the issue of global warming.
Gasoline used in cars emits an estimated 24 pounds of carbon dioxide and other …
Gasoline used in cars emits an estimated 24 pounds of carbon dioxide and other …
Predictive Modeling of Vehicle CO2 Emissions Using Machine Learning Techniques: A Comprehensive Analysis of Automotive Attributes
BS Satpute, R Bharati… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Concerns about protecting the environment and reducing the negative effects of greenhouse
gas emissions, particularly in the automotive industry, have raised interest in finding creative …
gas emissions, particularly in the automotive industry, have raised interest in finding creative …
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 …
Machine Learning Assisted Experimental Investigation on Carbon Emissions of Diverse Fuels
SB Jeniffer, D Sathya, R Yogeshwari… - 2023 7th …, 2023 - ieeexplore.ieee.org
In this article, an experimental investigation is done to study the impact of carbon dioxide
(CO2) vehicle emissions on global climatic changes. The dataset for the analysis is taken …
(CO2) vehicle emissions on global climatic changes. The dataset for the analysis is taken …
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 …
Prediction of Vehicle Emission Using Machine Learning
S Singh, Y Chauhan, V Bhadana… - Available at SSRN …, 2023 - papers.ssrn.com
The transportation industry is responsible for a significant share of greenhouse gas and
hazardous pollutant emissions worldwide. Even while alternative fuel vehicles, such as all …
hazardous pollutant emissions worldwide. Even while alternative fuel vehicles, such as all …
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 Co2 Emission in Cars
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 …
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …