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Machine learning technology in biodiesel research: A review
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
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
Biodiesel has been emerging as a potential and promising biofuel for the strategy of
reducing toxic emissions and improving engine performance. Computational methods …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
about the heat transfer coefficient (HTC) is required. Here, an extensive database including …