Analysis of volumetric swelling and shrinkage of heat treated woods: Experimental and artificial neural network modeling approach

Network Modeling ◽

Neural Network Modeling ◽

Modeling Approach ◽

Heat Treated ◽

Photocatalytic degradation of textile reactive dye using artificial neural network modeling approach

Desalination and Water Treatment ◽

10.1080/19443994.2015.1064035 ◽

2015 ◽

Vol 57 (30) ◽

pp. 14132-14144 ◽

Cited By ~ 11

Author(s):

G.G. Lenzi ◽

R.F. Evangelista ◽

E.R. Duarte ◽

L.M.S. Colpini ◽

A.C. Fornari ◽

...

Keyword(s):

Neural Network ◽

Photocatalytic Degradation ◽

Network Modeling ◽

Reactive Dye ◽

Neural Network Modeling ◽

Modeling Approach ◽

224G Package Interconnect Design Study - Based on Artificial Neural Network Modeling Approach

2019 IEEE 69th Electronic Components and Technology Conference (ECTC) ◽

10.1109/ectc.2019.00292 ◽

2019 ◽

Author(s):

Hui Liu ◽

Qian Ding ◽

Penglin Liu

Keyword(s):

Neural Network ◽

Network Modeling ◽

Neural Network Modeling ◽

Design Study ◽

Modeling Approach ◽

Artificial Neural ◽

Interconnect Design

Artificial neural network modeling approach to power-line communication multi-path channel

2008 International Conference on Neural Networks and Signal Processing ◽

10.1109/icnnsp.2008.4590345 ◽

2008 ◽

Cited By ~ 1

Author(s):

Yong-tao Ma ◽

Kai-hua Liu ◽

Yi-na Guo

Keyword(s):

Neural Network ◽

Network Modeling ◽

Power Line ◽

Neural Network Modeling ◽

Power Line Communication ◽

Modeling Approach ◽

Risks assessment of forest project implementation in spatial density changes of forest under canopy vegetation using artificial neural network modeling approach

Journal of Spatial Analysis Environmental Hazarts ◽

10.29252/jsaeh.6.2.21 ◽

2019 ◽

Vol 6 (2) ◽

pp. 21-34

Author(s):

Ali Jahani ◽

Keyword(s):

Neural Network ◽

Network Modeling ◽

Spatial Density ◽

Neural Network Modeling ◽

Project Implementation ◽

Modeling Approach ◽

Artificial Neural ◽

Risks Assessment

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