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 …
The Concise latest report on the advantages and disadvantages of pure biodiesel (B100) on engine performance: Literature review and bibliometric analysis
Currently, many countries are promoting B100 as the main fuel for diesel engines towards
the transition to 100% renewable energy applications. However, due to its properties, B100 …
the transition to 100% renewable energy applications. However, due to its properties, B100 …
Enhanced biodiesel production from wet microalgae biomass optimized via response surface methodology and artificial neural network
This study investigates modeling and optimal conditions for biodiesel production from
exceedingly wet microalgae Chlorella pyrenoidosa using the catalyst, hydrochloric acid …
exceedingly wet microalgae Chlorella pyrenoidosa using the catalyst, hydrochloric acid …
Prandtl number of optimum biodiesel from food industrial waste oil and diesel fuel blend for diesel engine
Unconventional biodiesel characterization techniques using thermophysical and transport
properties have been receiving increasing attention due to its advantages over fundamental …
properties have been receiving increasing attention due to its advantages over fundamental …
Estimating vertically growing crop above-ground biomass based on UAV remote sensing
The accurate estimation of crop above-ground biomass (AGB) can assist in crop growth
monitoring and grain yield prediction. Remote sensing has been widely used for AGB …
monitoring and grain yield prediction. Remote sensing has been widely used for AGB …
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 …
Combining GA-SVM and NSGA-Ⅲ multi-objective optimization to reduce the emission and fuel consumption of high-pressure common-rail diesel engine
Y Wang, G Wang, G Yao, Q Shen, X Yu, S He - Energy, 2023 - Elsevier
This research proposed a multi-objective optimization approach that combines Non-
dominated Sorting Genetic Algorithms (NSGA) Ⅲ and support vector machine (SVM) to …
dominated Sorting Genetic Algorithms (NSGA) Ⅲ and support vector machine (SVM) to …
Model-prediction and optimization of the performance of a biodiesel–Producer gas powered dual-fuel engine
P Sharma, AK Sharma, D Balakrishnan, A Manivannan… - Fuel, 2023 - Elsevier
Diesel engines have been blamed for harming the environment owing to toxic emissions
that raise glasshouse gas (GHG) levels. This study intends to model-forecast and improve …
that raise glasshouse gas (GHG) levels. This study intends to model-forecast and improve …
Prediction of diesel particulate filter regeneration conditions and diesel engine performance under regeneration mode using AMSO-BPNN and combined with …
Y Wang, J Li, G Wang, G Chen, S He - Applied Energy, 2025 - Elsevier
This research proposed a dependable model for predicting Diesel Particulate Filter (DPF)
regeneration conditions and emission performance in diesel engines. The proposed model …
regeneration conditions and emission performance in diesel engines. The proposed model …