Adsorption of dicamba and MCPA onto MIL-53(Al) metal–organic framework: response surface methodology and artificial neural network model studies

Rapid equilibration within a short time, high adsorption capacity, optimization, multivariate interaction of adsorption parameters and artificial neural network prediction model.

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Artificial neural network prediction of CO emission and ash yield from co-combustion of empty fruit bunch, palm kernel shell and kaolin

Environmental Science and Pollution Research ◽

10.1007/s11356-021-13783-z ◽

2021 ◽

Author(s):

Kamoru O. Oladosu ◽

Tesleem B. Asafa ◽

Abass O. Alade ◽

Mutiu F. Erinosho

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Palm Kernel ◽

Empty Fruit Bunch ◽

Palm Kernel Shell ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural ◽

Co Emission

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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 ◽

Artificial Neural Network ◽

Metal Organic Framework ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Metal Organic ◽

Artificial Neural ◽

Organic Framework

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Solid-liquid equilibrium of the GaInGaSb system and artificial neural network prediction

Materials Science and Engineering B ◽

10.1016/0921-5107(94)01147-8 ◽

1995 ◽

Vol 31 (3) ◽

pp. 305-308 ◽

Cited By ~ 1

Author(s):

Wu Wei ◽

Yan Luming ◽

Peng Ruiwu ◽

Chen Nianyi ◽

Zhang Jinwei

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Liquid Equilibrium ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural ◽

Solid Liquid

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Experimental Studies of FPSO Responses with Validation by Numerical and Artificial Neural Network Prediction

Lecture Notes in Mechanical Engineering - Advances in Manufacturing Engineering ◽

10.1007/978-981-15-5753-8_43 ◽

2020 ◽

pp. 469-482

Author(s):

N. L. Azizan ◽

Ruly Irawan ◽

M. S. Liew ◽

A. M. Al-Yacouby ◽

Kamaluddeen Usman Danyaro

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Experimental Studies ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural

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Thermophysical properties of KCl-NaF reciprocal eutectic by artificial neural network prediction and experimental measurements

Solar Energy ◽

10.1016/j.solener.2020.05.029 ◽

2020 ◽

Vol 204 ◽

pp. 667-672

Author(s):

Yang Wang ◽

Changjian Ling ◽

Huiqin Yin ◽

Weihua Liu ◽

Zhongfeng Tang ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Thermophysical Properties ◽

Experimental Measurements ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural

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Feature selection, artificial neural network prediction and experimental testing for predicting breakage rate of maize kernels based on mechanical properties

Journal of Food Process Engineering ◽

10.1111/jfpe.13621 ◽

2020 ◽

Author(s):

Guoyi Xia ◽

Yang Xu ◽

Yuan Su ◽

Xiaojun Gao ◽

Yibo Li ◽

...

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Artificial Neural Network ◽

Feature Selection ◽

Experimental Testing ◽

Breakage Rate ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural ◽

Maize Kernels

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Artificial Neural Network Prediction Using Accelerometers to Control Upper Limb FES During Reaching and Grasping Following Stroke

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.260447 ◽

2006 ◽

Cited By ~ 5

Author(s):

Phil Tresadern ◽

Sibylle Thies ◽

Laurence Kenney ◽

David Howard ◽

John Y. Goulermas

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Upper Limb ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural

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Experiment and Artificial Neural Network Prediction of Thermal Conductivity and Viscosity for Alumina-Water Nanofluids

Materials ◽

10.3390/ma10050552 ◽

2017 ◽

Vol 10 (5) ◽

pp. 552 ◽

Cited By ~ 26

Author(s):

◽

Keyword(s):

Neural Network ◽

Thermal Conductivity ◽

Artificial Neural Network ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural

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Artificial neural network prediction of weld distortion rectification using a travelling induction coil

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-012-4713-z ◽

2013 ◽

Vol 68 (1-4) ◽

pp. 127-140 ◽

Cited By ~ 4

Author(s):

C. J. Barclay ◽

S. W. Campbell ◽

A. M. Galloway ◽

N. A. McPherson

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Induction Coil ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural ◽

Distortion Rectification ◽

Weld Distortion

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Performance & emission analysis of HHO enriched dual-fuelled diesel engine with artificial neural network prediction approaches

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2020.02.108 ◽

2020 ◽

Vol 45 (49) ◽

pp. 26357-26369 ◽

Cited By ~ 6

Author(s):

Raif Kenanoğlu ◽

Mustafa Kaan Baltacıoğlu ◽

Mehmet Hakan Demir ◽

Merve Erkınay Özdemir

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Diesel Engine ◽

Emission Analysis ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural

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