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 …

Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed

D Rajković, AM Jeromela, L Pezo, B Lončar… - Journal of Food …, 2023 - Elsevier
With the aid of models used in artificial intelligence, a wide range of data can be processed
quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during …

Variation and inheritance of oil content and fatty acid composition in niger (Guizotia abyssinica)

M Geleta, S Stymne, T Bryngelsson - Journal of food composition and …, 2011 - Elsevier
Niger (Guizotia abyssinica) is an economically important edible oilseed crop with a wide
variation in seed oil content and fatty acid composition between populations. This study …

The importance of Guizotia abyssinica (niger) for sustainable food security in Ethiopia

M Geleta, R Ortiz - Genetic resources and crop evolution, 2013 - Springer
Niger (noug; Guizotia abyssinica) is an economically important edible oilseed crop. This
review sought to demonstrate the significance of niger for sustainable food security in …

Genetic algorithm–artificial neural network modeling of moisture and oil content of pretreated fried mushroom

M Mohebbi, M Fathi, F Shahidi - Food and Bioprocess Technology, 2011 - Springer
In this research, the effect of different pretreatments (osmotic dehydration and gum coating)
on moisture and oil content of fried mushroom was investigated, and artificial neural network …

Soy sauce classification by geographic region and fermentation based on artificial neural network and genetic algorithm

L Xu, Y Li, N Xu, Y Hu, C Wang, J He… - Journal of agricultural …, 2014 - ACS Publications
This work demonstrated the possibility of using artificial neural networks to classify soy
sauce from China. The aroma profiles of different soy sauce samples were differentiated …

Estimation of quality parameters in virgin olive oil treated with olive leaf extract: application of artificial neural networks

S Şahin, S Sevgen, R Samli - Chemical Papers, 2019 - Springer
In this paper, virgin olive oil was treated by olive leaf extract to increase the quality of the
product by means of ultrasound-assisted extraction. A multilayer perceptron layer artificial …

[PDF][PDF] Monitoring industrial hydrogenation of soybean oil using self-organizing maps

JL Sanchez, SBG Pereira, A Tanamati… - Emirates Journal of …, 2019 - researchgate.net
Monitoring the hydrogenation reaction is crucial to guarantee a product with desired
properties. The combination of gas chromatography (GC) with self-organizing maps (SOM) …

Advanced modeling of food convective drying: a comparison between artificial neural networks and hybrid approaches

A Saraceno, M Aversa, S Curcio - Food and Bioprocess Technology, 2012 - Springer
In the present paper, three different approaches are proposed to model the convective
drying of food. The performance of thin-layer, pure neural network and hybrid neural model …

Computer modelling of the enrichment process of sunflower and corn oils with olive leaves through ultrasound treatment

R Samli, ZBG Aydin, S Şahin - Biomass Conversion and Biorefinery, 2022 - Springer
Sunflower and corn oil can be enriched in polyphenols by adding olive leaf extracts to be
used commercially. In this paper, Artificial Neural Networks (ANN), Multiple Linear …