Estimation of transport CO2 emissions using machine learning algorithm
S Li, Z Tong, M Haroon - Transportation Research Part D: Transport and …, 2024 - Elsevier
This study investigates carbon dioxide emissions from light-duty diesel trucks using a
portable emission measurement system (PEMS) and a global positioning system. Two …
portable emission measurement system (PEMS) and a global positioning system. Two …
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction
Buildings remain pivotal in global energy consumption, necessitating a focused approach
toward enhancing their energy efficiency to alleviate environmental impacts. Precise energy …
toward enhancing their energy efficiency to alleviate environmental impacts. Precise energy …
Estimating Average Vehicle Mileage for Various Vehicle Classes using Polynomial Models in Deep Classifiers
N Niroomand, C Bach - IEEE Access, 2024 - ieeexplore.ieee.org
Accurately measuring vehicle mileage is pivotal in precise CO 2 emission calculations and
the development of reliable emission models. Nonetheless, mileage data gathered from …
the development of reliable emission models. Nonetheless, mileage data gathered from …
A novel ensemble approach for road traffic carbon emission prediction: a case in Canada
Abstract The" Annual Report 2021" from the United Nations Environment Programme
(UNEP) highlights that the transportation sector is the fastest-growing greenhouse gas …
(UNEP) highlights that the transportation sector is the fastest-growing greenhouse gas …
Effective Modeling of CO2 Emissions for Light-Duty Vehicles: Linear and Non-Linear Models with Feature Selection
HTT Vu, J Ko - Energies, 2024 - mdpi.com
Predictive modeling is important for assessing and reducing energy consumption and CO2
emissions of light-duty vehicles (LDVs). However, LDV emission datasets have not been …
emissions of light-duty vehicles (LDVs). However, LDV emission datasets have not been …
NOx Emission Prediction for Heavy-Duty Diesel Vehicles Based on Improved GWO-BP Neural Network
Z Wang, K Feng - Energies, 2024 - mdpi.com
NOx is one of the main sources of pollutants for motor vehicles. Nowadays, many diesel
vehicle manufacturers may use emission-cheating equipment to make the vehicles meet …
vehicle manufacturers may use emission-cheating equipment to make the vehicles meet …
Advancing Sustainable IoT Appliance Load Monitoring Through Edge-Enabled Federated Transfer Learning
Non-intrusive Appliance Load Monitoring (NALM) is essential for efficient electricity
consumption tracking in households, promoting eco-friendly practices, and cost reduction …
consumption tracking in households, promoting eco-friendly practices, and cost reduction …
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 …
Revolutionizing Road Safety for Advanced Vehicular Accident Prediction
T Deepika, N Yuvaraj… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
The detection and tracking of vehicle speed are crucial for ensuring the safety of civilians
and preventing accidents. Speed tracking plays a pivotal role in traffic surveillance, where …
and preventing accidents. Speed tracking plays a pivotal role in traffic surveillance, where …