Machine learning‐based modeling in food processing applications: State of the art
Food processing is a complex, multifaceted problem that requires substantial human
interaction to optimize the various process parameters to minimize energy consumption and …
interaction to optimize the various process parameters to minimize energy consumption and …
Application of artificial neural networks (ANNs) in drying technology: a comprehensive review
M Aghbashlo, S Hosseinpour, AS Mujumdar - Drying technology, 2015 - Taylor & Francis
Inspired by the functional behavior of the biological nervous system of the human brain, the
artificial neural network (ANN) has found many applications as a superior tool to model …
artificial neural network (ANN) has found many applications as a superior tool to model …
Response surface methodology and artificial neural network approach for the optimization of ultrasound-assisted extraction of polyphenols from garlic
This paper aimed to establish the optimal conditions for ultrasound-assisted extraction of
polyphenols from domestic garlic (Allium sativum L.) using response surface methodology …
polyphenols from domestic garlic (Allium sativum L.) using response surface methodology …
Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface …
Stevia rebaudiana (Bertoni) consists of stevioside and rebaudioside-A (Reb-A). We
compared response surface methodology (RSM) and artificial neural network (ANN) …
compared response surface methodology (RSM) and artificial neural network (ANN) …
Application of machine learning-based approach in food drying: Opportunities and challenges
Application of machine learning (ML)-based algorithms in food drying is an exciting and
innovative approach to advance the drying technology. In order to appropriately develop this …
innovative approach to advance the drying technology. In order to appropriately develop this …
Freshness assessment of gilthead sea bream (Sparus aurata) by machine vision based on gill and eye color changes
The fish freshness was evaluated using machine vision technique through color changes of
eyes and gills of farmed and wild gilthead sea bream (Sparus aurata), being employed …
eyes and gills of farmed and wild gilthead sea bream (Sparus aurata), being employed …
Exact estimation of biodiesel cetane number (CN) from its fatty acid methyl esters (FAMEs) profile using partial least square (PLS) adapted by artificial neural network …
Cetane number (CN) is among the most important properties of biodiesel because it
quantifies combustion speed or in better words, ignition quality. Experimental measurement …
quantifies combustion speed or in better words, ignition quality. Experimental measurement …
Artificial neural network modelling of moisture content evolution for convective drying of cylindrical quince slices
In the present study, moisture content evolution of cylindrical quince slices during convective
drying was modelled by using artificial neural networks (ANN). Quince slices with an …
drying was modelled by using artificial neural networks (ANN). Quince slices with an …
A novel machine learning–based approach for characterising the micromechanical properties of food material during drying
Plant-based food materials (PBFMs) such as fruits and vegetables contain various irregular
cellular compartments. Like other engineering materials, the characterisation of …
cellular compartments. Like other engineering materials, the characterisation of …
[HTML][HTML] Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook
One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …
the high feedstock cost. Modeling and optimization are crucial steps to determine if …