Review of leaf drying: Mechanism and influencing parameters, drying methods, nutrient preservation, and mathematical models
Fresh leaves used for culinary and medicinal purposes are highly perishable by nature.
Quite often, post-harvest losses occur and there is noticeable deterioration in quality due to …
Quite often, post-harvest losses occur and there is noticeable deterioration in quality due to …
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 …
[HTML][HTML] Modeling of thermo-chemical pretreatment of yam peel substrate for biogas energy production: RSM, ANN, and ANFIS comparative approach
The modeling and optimization of the substrate treatment process in biogas energy
production from yam peel substrates via anaerobic digestion was the purpose of this work …
production from yam peel substrates via anaerobic digestion was the purpose of this work …
A review on exergy analysis of drying processes and systems
In recent years, growing attention has been given to exergy analysis of drying processes
and systems and optimization of drying processes using exergy concept. This research …
and systems and optimization of drying processes using exergy concept. This research …
ANFIS, ANN, and RSM modeling of moisture content reduction of cocoyam slices
The capability of response surface methodology (RSM), artificial neural network (ANN), and
adaptive neuro‐fuzzy inference systems (ANFIS) in modeling and predicting moisture …
adaptive neuro‐fuzzy inference systems (ANFIS) in modeling and predicting moisture …
Optimization of performance and exhaust emission parameters of a SI (spark ignition) engine with gasoline–ethanol blended fuels using response surface …
This paper studies the use of RSM (response surface methodology) to optimize the
performance parameters and exhaust emissions of a SI (spark ignition) engine which …
performance parameters and exhaust emissions of a SI (spark ignition) engine which …
Application of artificial neural network method to exergy and energy analyses of fluidized bed dryer for potato cubes
M Azadbakht, H Aghili, A Ziaratban, MV Torshizi - Energy, 2017 - Elsevier
Drying the samples was performed in the inlet temperatures of 45, 50, and 55° C, air velocity
of 3.2, 6.8, and 9.1 ms− 1, and bed depth of 1.5, 2.2, and 3 cm. The effects of these …
of 3.2, 6.8, and 9.1 ms− 1, and bed depth of 1.5, 2.2, and 3 cm. The effects of these …
Evaluation of the response surface and hybrid artificial neural network-genetic algorithm methodologies to determine extraction yield of Ferulago angulata through …
In this research, the influence of operational parameters such as pressure, temperature,
particle size and dynamic time on the extraction of Ferulago angulata via supercritical …
particle size and dynamic time on the extraction of Ferulago angulata via supercritical …
Exergy and energy analysis of combustion of blended levels of biodiesel, ethanol and diesel fuel in a DI diesel engine
In this study, the first and second laws of thermodynamics are employed to analyze the
energy and energy in a four-cylinder, direct injection diesel engine using blended levels of …
energy and energy in a four-cylinder, direct injection diesel engine using blended levels of …
Optimization of operating factors and blended levels of diesel, biodiesel and ethanol fuels to minimize exhaust emissions of diesel engine using response surface …
This study is aimed at investigating the effect of operating factors of engine load and speed
as well as blended levels of biodiesel and ethanol in diesel fuel on the emission …
as well as blended levels of biodiesel and ethanol in diesel fuel on the emission …