Machine learning technology in biodiesel research: A review

M Aghbashlo, W Peng, M Tabatabaei… - Progress in Energy and …, 2021 - Elsevier
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels

AT Hoang, S Nižetić, HC Ong, W Tarelko, TH Le… - Sustainable Energy …, 2021 - Elsevier
Biodiesel has been emerging as a potential and promising biofuel for the strategy of
reducing toxic emissions and improving engine performance. Computational methods …

[HTML][HTML] Review of artificial neural networks for gasoline, diesel and homogeneous charge compression ignition engine

I Veza, A Afzal, MA Mujtaba, AT Hoang… - Alexandria Engineering …, 2022 - Elsevier
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 …

Application of an artificial neural network to optimise energy inputs: An energy-and cost-saving strategy for commercial poultry farms

E Elahi, Z Zhang, Z Khalid, H Xu - Energy, 2022 - Elsevier
The current study estimates target values of energy inputs along with an assessment of
energy-and cost-saving strategies for poultry farms. In 2019, cross-sectional data were …

Application of artificial neural network for internal combustion engines: a state of the art review

AN Bhatt, N Shrivastava - Archives of Computational Methods in …, 2022 - Springer
The automotive industry is facing a crucial time. The transformation from internal combustion
engines to new electrical technologies requires enormous investment, and hence the IC …

A critical review of recent advancements in continuous flow reactors and prominent integrated microreactors for biodiesel production

R Gopi, V Thangarasu, A Ramanathan - Renewable and Sustainable …, 2022 - Elsevier
Biodiesel is eco-friendly, less toxic and one of the most researched biofuels in recent years
to reduce our reliance on fossil fuels and minimize emissions. The various problems …

[HTML][HTML] Use of artificial neural networks to predict fuel consumption on the basis of technical parameters of vehicles

J Ziółkowski, M Oszczypała, J Małachowski… - Energies, 2021 - mdpi.com
This publication presents a multi-faceted analysis of the fuel consumption of motor vehicles
and the way human impacts the environment, with a particular emphasis on the passenger …

Comparative study using RSM and ANN modelling for performance-emission prediction of CI engine fuelled with bio-diesohol blends: A fuzzy optimization approach

S Dey, NM Reang, PK Das, M Deb - Fuel, 2021 - Elsevier
This present investigation focuses on prediction of engine responses of a single cylinder CI
engine powered by bio-diesohol (diesel-palm biodiesel-ethanol) blends using RSM …

Combustion, performance, and emission behavior of a CI engine fueled with different biodiesels: A modelling, forecasting and experimental study

VK Nema, A Singh, PK Chaurasiya, TK Gogoi… - Fuel, 2023 - Elsevier
The current automobile industry is greatly dependent upon petroleum supplies and is
moving toward its terminating phases very soon. The depletion of petrol fuel reserves is …

Robust and general predictive models for condensation heat transfer inside conventional and mini/micro channel heat exchangers

MA Moradkhani, SH Hosseini, M Song - Applied Thermal Engineering, 2022 - Elsevier
To design, scale-up, and optimize the two-phase flow heat exchangers, accurate information
about the heat transfer coefficient (HTC) is required. Here, an extensive database including …