Mathematical and Artificial Neural Network Modeling for Vacuum Drying Kinetics of Moringa olifera Leaves Followed by Determination of Energy Consumption and Mass Transfer Parameters

Network Modeling ◽

Neural Network Modeling ◽

Vacuum Drying ◽

Transfer Parameters ◽

Artificial Neural Network Modeling of Osmotic Dehydration Mass Transfer Kinetics of Fruits

Drying Technology ◽

10.1080/07373930601160882 ◽

2007 ◽

Vol 25 (1) ◽

pp. 85-95 ◽

Cited By ~ 13

Author(s):

C. I. Ochoa-Martínez ◽

H. S. Ramaswamy ◽

A. A. Ayala-Aponte

Keyword(s):

Neural Network ◽

Mass Transfer ◽

Osmotic Dehydration ◽

Network Modeling ◽

Neural Network Modeling ◽

Mass Transfer Kinetics ◽

Artificial Neural ◽

Spectrophotometric Determination of Trace Amounts of Benzotriazole in Aqueous Solutions Using Gold Nanoparticles: Artificial Neural Network Modeling

ChemistrySelect ◽

10.1002/slct.202000922 ◽

2020 ◽

Vol 5 (19) ◽

pp. 5712-5719

Author(s):

Narges Esmaile ◽

Soroush Shabaneh ◽

Shirin Mofavvaz ◽

Mahmoud Reza Sohrabi ◽

Behzad Torabi

Keyword(s):

Neural Network ◽

Gold Nanoparticles ◽

Aqueous Solutions ◽

Spectrophotometric Determination ◽

Network Modeling ◽

Neural Network Modeling ◽

Mathematical, Fuzzy Logic and Artificial Neural Network Modeling Techniques to Predict Drying Kinetics of Onion

Journal of Food Processing and Preservation ◽

10.1111/jfpp.12610 ◽

2015 ◽

Vol 40 (2) ◽

pp. 329-339 ◽

Cited By ~ 33

Author(s):

Seid Mahdi Jafari ◽

Mohammad Ganje ◽

Danial Dehnad ◽

Vahid Ghanbari

Keyword(s):

Neural Network ◽

Fuzzy Logic ◽

Network Modeling ◽

Drying Kinetics ◽

Neural Network Modeling ◽

Mathematical Fuzzy Logic ◽

Modeling Techniques ◽

Artificial neural network modeling of mass transfer during osmotic dehydration of kaffir lime peel

Journal of Food Engineering ◽

10.1016/j.jfoodeng.2009.12.030 ◽

2010 ◽

Vol 98 (2) ◽

pp. 214-223 ◽

Cited By ~ 30

Author(s):

S. Lertworasirikul ◽

S. Saetan

Keyword(s):

Neural Network ◽

Mass Transfer ◽

Osmotic Dehydration ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural ◽

Lime Peel

Artificial Neural Network Modeling for Temperature and Moisture Content Prediction in Tomato Slices Undergoing Microwave-Vacuum Drying

Journal of Food Science ◽

10.1111/j.1750-3841.2006.00220.x ◽

2007 ◽

Vol 72 (1) ◽

pp. E042-E047 ◽

Cited By ~ 25

Author(s):

Poonpat Poonnoy ◽

Ampawan Tansakul ◽

Manjeet Chinnan

Keyword(s):

Neural Network ◽

Moisture Content ◽

Network Modeling ◽

Neural Network Modeling ◽

Vacuum Drying ◽

Microwave Vacuum Drying ◽

Artificial neural network modeling on the prediction of mass transfer coefficient for ozone absorption in RPB

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2019.09.027 ◽

2019 ◽

Vol 152 ◽

pp. 38-47

Author(s):

Taoran Liu ◽

Yiran Liu ◽

Dan Wang ◽

Yingwen Li ◽

Lei Shao

Keyword(s):

Neural Network ◽

Mass Transfer ◽

Transfer Coefficient ◽

Mass Transfer Coefficient ◽

Network Modeling ◽

Neural Network Modeling ◽

Ozone Absorption ◽

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

Journal of Food Processing and Preservation ◽

10.1111/jfpp.14142 ◽

2019 ◽

Vol 43 (10) ◽

Cited By ~ 6

Author(s):

Nihan Karakaplan ◽

Eda Goz ◽

Emir Tosun ◽

Mehmet Yuceer

Keyword(s):

Neural Network ◽

Network Modeling ◽

Drying Kinetics ◽

Neural Network Modeling ◽

Mentha Spicata ◽

Modeling Techniques ◽

Artificial Neural ◽

Artificial Neural Network Modeling of Pavement Performance using Expert Judgement

Road Materials and Pavement Design ◽

10.3166/rmpd.3.373-384 ◽

2002 ◽

Vol 3 (4) ◽

pp. 373-384

Author(s):

Medhi Parvani

Keyword(s):

Neural Network ◽

Network Modeling ◽

Pavement Performance ◽

Expert Judgement ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of Phytoestrogen Binding to Estrogen Receptors

Letters in Drug Design & Discovery ◽

10.2174/157018006778194871 ◽

2006 ◽

Vol 3 (7) ◽

pp. 436-442 ◽

Cited By ~ 4

Author(s):

S. Agatonovic-Kustrin ◽

J. Turner

Keyword(s):

Neural Network ◽

Estrogen Receptors ◽

Network Modeling ◽

Neural Network Modeling ◽

Innovations in Corrosion and Materials Science (Formerly Recent Patents on Corrosion Science) ◽

An Artificial Neural Network Modeling to Study Unpredictable Degradation of Carbon Steel Marine Structure with Environmental Variables: Chloride, Sulphate, Bicarbonates, pH

10.2174/2352094904999141202103233 ◽

2015 ◽

Vol 4 (2) ◽

pp. 127-133

Author(s):

Subir Paul ◽

Sujit K Guchhait ◽

Kamal Goswami

Keyword(s):

Neural Network ◽

Carbon Steel ◽

Environmental Variables ◽

Network Modeling ◽

Neural Network Modeling ◽

Marine Structure ◽