African sorghum-based fermented foods: past, current and future prospects

OA Adebo - Nutrients, 2020 - mdpi.com
Sorghum (Sorghum bicolor) is a well-known drought and climate resistant crop with vast
food use for the inhabitants of Africa and other developing countries. The importance of this …

[HTML][HTML] Analysis of water absorption of bean and chickpea during soaking using Peleg model

SM Shafaei, AA Masoumi, H Roshan - Journal of the Saudi society of …, 2016 - Elsevier
Peleg model was used to determine the instance moisture content of three varieties of bean
(Talash, Sadri and Mahali Khomein) and three varieties of chickpea (Desi, small Kabuli and …

[HTML][HTML] Artificial neural network (ANNs) and mathematical modelling of hydration of green chickpea

Y Kumar, L Singh, VS Sharanagat, A Tarafdar - Information Processing in …, 2021 - Elsevier
The present study was aimed to model the hydration characteristics of green chickpea (GC)
using mathematical modelling and examine predictive ability of artificial neural network …

Response surface optimization of pudding formulation containing fish gelatin and clove (Syzygium aromaticum) and cinnamon (Cinnamomum verum) powder: Effect …

N Choobkar, A Daraei Garmakhany… - Food Science & …, 2022 - Wiley Online Library
In this study, the response surface methodology (RSM) was used to optimize the pudding
formulation ingredients including the fish/bovine gelatin ratio and cinnamon and clove …

A peleg modeling of water absorption in cold plasma-treated Chickpea (Cicer arietinum L.) cultivars

FL Pathan, AM Trimukhe, RR Deshmukh… - Scientific Reports, 2023 - nature.com
Plasma processing appears to be the mainstay of food preservation in the present day due
to its effectiveness in controlling microorganisms at low temperatures. Legumes are usually …

Kinetic and artificial neural network modeling techniques to predict the drying kinetics of Mentha spicata L.

N Karakaplan, E Goz, E Tosun… - Journal of Food …, 2019 - Wiley Online Library
This study presented both the empirical and artificial neural network (ANN) approaches to
estimate the moisture content of Mentha spicata. Two different types of drying methods (in …

Development of artificial intelligence based systems for prediction of hydration characteristics of wheat

SM Shafaei, A Nourmohamadi-Moghadami… - … and Electronics in …, 2016 - Elsevier
Hydration characteristics (moisture content, moisture ratio and hydration rate) of wheat
kernel during soaking process were studied and simulated. Hydration procedure was …

[HTML][HTML] Modeling the effect of temperature on the hydration kinetic whole moong grain

VS Sharanagat, V Kansal, K Kumar - Journal of the Saudi Society of …, 2018 - Elsevier
Water hydration characteristics of moong at temperatures of 25, 35, 45 and 55° C were
determined and three major dimensions (length, width and thickness) and moisture content …

Predicting properties of cereals using artificial neural networks: a review.

S Goyal - 2013 - cabidigitallibrary.org
This communication reports the use of artificial neural networks (ANN) in cereals and
analyzes the major contribution of ANN in cereals (barley, corn, maze, oats, paddy, rice, rye …

Optimisation of pumpkin mass transfer kinetic during osmotic dehydration using artificial neural network and response surface methodology modelling

M Mokhtarian, M Heydari Majd… - … and Safety of …, 2014 - wageningenacademic.com
In this study, the response surface methodology (RSM) was used to optimise osmo-
dehydration of pumpkin cubes. Effect of different parameters including osmotic solution …