An artificial neural network model to predict efficiency and emissions of a gasoline engine

R Yang, Y Yan, X Sun, Q Wang, Y Zhang, J Fu, Z Liu - Processes, 2022 - mdpi.com
With global warming, and internal combustion engine emissions as the main global non-
industrial emissions, how to further optimize the power performance and emissions of …

Exhaust Emissions from Gasoline Vehicles with Different Fuel Detergency and the Prediction Model Using Deep Learning

R Zhang, H Chen, P Xie, L Zu, Y Wei, M Wang, Y Wang… - Sensors, 2023 - mdpi.com
Enhancing gasoline detergency is pivotal for enhancing fuel efficiency and mitigating
exhaust emissions in gasoline vehicles. This study investigated gasoline vehicle emission …

Development of an energy consumption prediction model for battery electric vehicles in real-world driving: a combined approach of short-trip segment division and …

Y Pan, W Fang, W Zhang - Journal of Cleaner Production, 2023 - Elsevier
Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …

[图书][B] Effects of artificial neural networks characterization on prediction of diesel engine emissions

A Tehranian - 2003 - search.proquest.com
More than a century after its invention, diesel remains the fuel of choice for buses and freight
trucks. Diesel exhaust contains three gases that are regulated by the United States …

Neural network-based modeling of electric vehicle energy demand and all electric range

J Topić, B Škugor, J Deur - Energies, 2019 - mdpi.com
A deep neural network-based approach of energy demand modeling of electric vehicles
(EV) is proposed in this paper. The model-based prediction of energy demand is based on …

Predicting vehicle fuel consumption based on multi-view deep neural network

Y Li, IY Zeng, Z Niu, J Shi, Z Wang, Z Guan - Neurocomputing, 2022 - Elsevier
The problem of global warming is getting more serious, and vehicle emission is the main
cause. In recent years, the number of locomotives in China has been increasing at a rate of …

Predicting gasoline vehicle fuel consumption in energy and environmental impact based on machine learning and multidimensional big data

Y Yang, N Gong, K Xie, Q Liu - Energies, 2022 - mdpi.com
The underestimation of fuel consumption impacts various aspects. In the vehicle market,
manufacturers often advertise fuel economy for marketing. In fact, the fuel consumption …

Vehicular emissions prediction with CART-BMARS hybrid models

SD Oduro, QP Ha, H Duc - Transportation Research Part D: Transport and …, 2016 - Elsevier
Vehicular emission models play a key role in the development of reliable air quality
modeling systems. To minimize uncertainties associated with these models, it is essential to …

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 …

Development of Machine Learning based approach to predict fuel consumption and maintenance cost of Heavy-Duty Vehicles using diesel and alternative fuels

S Katreddi - 2023 - search.proquest.com
One of the major contributors of human-made greenhouse gases (GHG) namely carbon
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …