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

Osmotic Dehydration ◽

Network Modeling ◽

Neural Network Modeling ◽

Mass Transfer Kinetics ◽

Artificial Neural ◽

Kinetics Of

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

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

Journal of Applied Research on Medicinal and Aromatic Plants ◽

10.1016/j.jarmap.2021.100306 ◽

2021 ◽

pp. 100306

Author(s):

Ayon Tarafdar ◽

Nandhini Jothi ◽

Barjinder Pal Kaur

Keyword(s):

Neural Network ◽

Mass Transfer ◽

Network Modeling ◽

Neural Network Modeling ◽

Vacuum Drying ◽

Transfer Parameters ◽

Kinetics Of

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 ◽

Kinetics Of

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 ◽

Porosity Estimation of Mesoporous TiO 2 ‐ZnO Nanocrystalline by Artificial Neural Network Modeling

Chemical Engineering & Technology ◽

10.1002/ceat.202000297 ◽

2021 ◽

Author(s):

Soroush Soltani ◽

Taha Roodbar Shojaei ◽

Nasrin Khanian ◽

Thomas Shean Yaw Choong ◽

Nilofar Asim ◽

...

Keyword(s):

Neural Network ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural ◽

Porosity Estimation

Numerical and artificial neural network modeling study on the first-law and second-law performance of a novel helical heat sink filled with water–silver nanofluid

Journal of Thermal Analysis and Calorimetry ◽

10.1007/s10973-021-10697-3 ◽

2021 ◽

Author(s):

Mohammad Reza Salehfekr Arabani ◽

Nader Pourmahmoud ◽

Iraj Mirzaii

Keyword(s):

Neural Network ◽

Heat Sink ◽

Network Modeling ◽

Neural Network Modeling ◽

Second Law ◽

Artificial Neural ◽

Modeling Study

Analysis of diclofenac removal by metal-organic framework MIL-100(Fe) using multi-parameter experiments and artificial neural network modeling

Journal of the Taiwan Institute of Chemical Engineers ◽

10.1016/j.jtice.2021.04.021 ◽

2021 ◽

Author(s):

Ho-Young Jang ◽

Jin-Kyu Kang ◽

Seung-Chan Lee ◽

Jeong-Ann Park ◽

Song-Bae Kim

Keyword(s):

Neural Network ◽

Metal Organic Framework ◽

Network Modeling ◽

Neural Network Modeling ◽

Metal Organic ◽

Artificial Neural ◽

Organic Framework