E.T.S. DE INGENIEROS INDUSTRIALES
Centro
University of Mohaghegh Ardabili
Ardabīl, IránPublicaciones en colaboración con investigadores/as de University of Mohaghegh Ardabili (11)
2022
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Modeling and Optimization of Energy and Exergy Parameters of a Hybrid-Solar Dryer for Basil Leaf Drying Using RSM
Sustainability (Switzerland), Vol. 14, Núm. 14
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Multi-Response Design Optimisation of a Combined Fluidised Bed-Infrared Dryer for Terebinth (Pistacia atlantica L.) Fruit Drying Process Based on Energy and Exergy Assessments by Applying RSM-CCD Modelling
Sustainability (Switzerland), Vol. 14, Núm. 22
2021
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Determination of drying kinetics, specific energy consumption, shrinkage, and colour properties of pomegranate arils submitted to microwave and convective drying
Open Agriculture, Vol. 6, Núm. 1, pp. 230-242
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Evaluation of exergy performance and onion drying properties in a multi-stage semi-industrial continuous dryer: Artificial neural networks (ANNs) and ANFIS models
Food and Bioproducts Processing, Vol. 127, pp. 58-76
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Thermodynamic evaluation of the forced convective hybrid-solar dryer during drying process of rosemary (Rosmarinus officinalis l.) leaves
Energies, Vol. 14, Núm. 18
2020
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Application of artificial neural networks (ANNS) modelling in drying technology of food products: A comprehensive survey
A Comprehensive Guide to Neural Network Modeling (Nova Science Publishers, Inc.), pp. 1-56
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Energetic and exergetic analysis of a convective drier: A case study of potato drying process
Open Agriculture, Vol. 5, Núm. 1, pp. 563-572
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Optimization of Infrared-convective Drying of White Mulberry Fruit Using Response Surface Methodology and Development of a Predictive Model through Artificial Neural Network
International Journal of Fruit Science, pp. 1-21
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Use of artificial intelligence for the estimation of effective moisture diffusivity, specific energy consumption, color and shrinkage in quince drying
Journal of Food Process Engineering, Vol. 43, Núm. 4
2019
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Prediction of white mulberry drying kinetics in microwave-convective dryer: A comparative study between mathematical model, artificial neural network and ANFIS
Journal of Food Science and Technology (Iran), Vol. 16, Núm. 88, pp. 201-219
2018
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ANFIS and ANNs model for prediction of moisture diffusivity and specific energy consumption potato, garlic and cantaloupe drying under convective hot air dryer
Information Processing in Agriculture, Vol. 5, Núm. 3, pp. 372-387