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 …

Applications of artificial intelligence‐based modeling for bioenergy systems: A review

M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …

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 …

Assessment of hydrogen and nanoparticles blended biodiesel on the diesel engine performance and emission characteristics

X Zhang, R Yang, P Anburajan, Q Van Le, M Alsehli… - Fuel, 2022 - Elsevier
Owing to the greatest need and continuous requirement of the fossil fuel, the immediate
search of alternate resources to the petroleum fuel is essential. This research deals with the …

A hybrid ANN-Fuzzy approach for optimization of engine operating parameters of a CI engine fueled with diesel-palm biodiesel-ethanol blend

S Dey, NM Reang, A Majumder, M Deb, PK Das - Energy, 2020 - Elsevier
This paper investigates use of artificial neural network (ANN) model in prediction of brake
specific energy consumption (BSEC), nitrogen oxides (NO x), unburnt hydrocarbon (UHC) …

Statistical review of studies on the estimation of thermophysical properties of nanofluids using artificial neural network (ANN)

MH Esfe, MH Kamyab, D Toghraie - Powder Technology, 2022 - Elsevier
The purpose of this study was to evaluate the conducted studies in the field of estimating the
thermophysical properties of nanofluids using the artificial neural network (ANN) technique …

[HTML][HTML] Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries

S Javed, M Zakirulla, RU Baig, SM Asif… - Computer Methods and …, 2020 - Elsevier
Background and objective Streptococcus mutans is the primary initiator and most common
organism associated with dental caries. Prediction of post-Streptococcus mutans favours in …

[HTML][HTML] Nanoparticle-enhanced biodiesel blends: a comprehensive review on improving engine performance and emissions

V Modi, PB Rampure, A Babbar, R Kumar… - Materials Science for …, 2024 - Elsevier
Environmental sustainability concerns have led to exploring alternative fuels like biodiesel in
transportation. However, biodiesel engines emit pollutants like NOx, CO, and PM, posing …

Simultaneous reduction of NOx and smoke emissions with low viscous biofuel in low heat rejection engine using selective catalytic reduction technique

V Karthickeyan, S Thiyagarajan, VE Geo, B Ashok… - Fuel, 2019 - Elsevier
The present work offered a comprehensive investigation on engine characteristics of single
cylinder Direct Injection (DI) diesel engine fuelled with Lemon oil (LO) biofuel. LO was …

[HTML][HTML] A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes

O Akande, JA Okolie, R Kimera, CC Ogbaga - Green Energy and Intelligent …, 2025 - Elsevier
Biodiesel as a renewable alternative to conventional diesel is a growing topic of interest due
to its potential environmental benefits. It is typically produced from oilseed crops such as …