Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
[HTML][HTML] Review of artificial neural networks for gasoline, diesel and homogeneous charge compression ignition engine
In automotive applications, artificial neural network (ANN) is now considered as a favorable
prediction tool. Since it does not need an understanding of the system or its underlying …
prediction tool. Since it does not need an understanding of the system or its underlying …
[HTML][HTML] Machine learning for combustion
Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …
chemical phenomena in time and length scales, including complex chemical reactions and …
A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network
W Sun, C Huang - Journal of Cleaner Production, 2020 - Elsevier
Carbon trading is one of the important mechanisms used to reduce carbon dioxide
emissions. The increasing interest in the carbon trading market has heightened the need to …
emissions. The increasing interest in the carbon trading market has heightened the need to …
An overview on the light alcohol fuels in diesel engines
One of the most useful characteristics of the science is its cumulative concept. This work was
done as an attempt to contribute this nature. As many reports have revealed that petroleum …
done as an attempt to contribute this nature. As many reports have revealed that petroleum …
Lignocellulose: a sustainable material to produce value-added products with a zero waste approach—a review
A Arevalo-Gallegos, Z Ahmad, M Asgher… - International journal of …, 2017 - Elsevier
A novel facility from the green technologies to integrate biomass-based carbohydrates,
lignin, oils and other materials extraction and transformation into a wider spectrum of …
lignin, oils and other materials extraction and transformation into a wider spectrum of …
Alcohol and ether as alternative fuels in spark ignition engine: A review
Energy security and global warming concern are the two main driving forces for the global
alcohol development that also have the effort to animate the agro-industry. Generally …
alcohol development that also have the effort to animate the agro-industry. Generally …
Performance and emission prediction of a compression ignition engine fueled with biodiesel-diesel blends: A combined application of ANN and RSM based …
In the present study, the performance and emission parameters of a single cylinder diesel
engine powered by biodiesel-diesel fuel blends were predicted by Artificial Neural Network …
engine powered by biodiesel-diesel fuel blends were predicted by Artificial Neural Network …
Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran
Earthquakes are natural phenomena, which induce natural hazard that seriously threatens
urban areas, despite significant advances in retrofitting urban buildings and enhancing the …
urban areas, despite significant advances in retrofitting urban buildings and enhancing the …
A review of studies using hydrocarbon adsorption material for reducing hydrocarbon emissions from cold start of gasoline engine
D Han, E Jiaqiang, Y Deng, J Chen, E Leng… - … and Sustainable Energy …, 2021 - Elsevier
In order to improve engine performance by reducing hydrocarbon (HC) emissions from cold
start of gasoline engine, firstly, cold-start emission control measures such as pre-treatment …
start of gasoline engine, firstly, cold-start emission control measures such as pre-treatment …