Modeling the kinetics of isobaric-isothermal inactivation of Bacillus subtilis α-amylase with artificial neural networks

Artificial Neural ◽

Modeling the calcium and magnesium removal from seawater by immobilized biomass of ureolytic bacteria Bacillus subtilis through response surface methodology and artificial neural networks

10.5004/dwt.2018.22665 ◽

2018 ◽

Vol 118 ◽

pp. 294-303 ◽

Cited By ~ 3

Author(s):

Dayana Arias ◽

Mariella Rivas ◽

Ricardo Guiñez ◽

Luis A. Cisternas

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Bacillus Subtilis ◽

Response Surface ◽

Immobilized Biomass ◽

Calcium And Magnesium ◽

Artificial Neural ◽

Magnesium Removal ◽

Ureolytic Bacteria

Parameters Optimization During the Lignite Bioconversion Process Using an Artificial Neural Networks and Release Kinetics of Humic Acids

SSRN Electronic Journal ◽

10.2139/ssrn.3949470 ◽

2021 ◽

Author(s):

Jing-Hua Yao ◽

Bai-Chao Xu ◽

De-Yu Zhuo ◽

Lei Xiao

Keyword(s):

Neural Networks ◽

Humic Acids ◽

Release Kinetics ◽

Parameters Optimization ◽

Artificial Neural ◽

Appraisal of methane production and anaerobic fermentation kinetics of livestock manures using artificial neural networks and sinusoidal growth functions

Journal of Material Cycles and Waste Management ◽

10.1007/s10163-020-01130-2 ◽

2020 ◽

Author(s):

Mohamed Mahmoud Ali ◽

Mamoudou Ndongo ◽

Kaan Yetilmezsoy ◽

Majid Bahramian ◽

Boudy Bilal ◽

...

Keyword(s):

Neural Networks ◽

Methane Production ◽

Anaerobic Fermentation ◽

Fermentation Kinetics ◽

Growth Functions ◽

Artificial Neural ◽

Combustion and pyrolysis kinetics of Australian lignite coal and validation by artificial neural networks

Energy ◽

10.1016/j.energy.2021.122949 ◽

2021 ◽

pp. 122949

Author(s):

SP Sathiya Prabhakaran ◽

Ganapathiraman Swaminathan ◽

Viraj V. Joshi

Keyword(s):

Neural Networks ◽

Pyrolysis Kinetics ◽

Lignite Coal ◽

Artificial Neural ◽

Ozonation Kinetics of Acid Red 27 Azo Dye: A Novel Methodology Based on Artificial Neural Networks for the Determination of Dynamic Kinetic Constants in Bubble Column Reactors

Chemical Engineering Communications ◽

10.1080/00986445.2013.841146 ◽

2014 ◽

Vol 202 (3) ◽

pp. 279-293 ◽

Cited By ~ 4

Author(s):

J. Ferre-Aracil ◽

S. C. Cardona ◽

J. Navarro-Laboulais

Keyword(s):

Neural Networks ◽

Azo Dye ◽

Bubble Column ◽

Kinetic Constants ◽

Bubble Column Reactors ◽

Artificial Neural ◽

Prediction of kinetics of doxorubicin release from sulfopropyl dextran ion-exchange microspheres using artificial neural networks

European Journal of Pharmaceutical Sciences ◽

10.1016/j.ejps.2004.12.005 ◽

2005 ◽

Vol 24 (5) ◽

pp. 401-410 ◽

Cited By ~ 22

Author(s):

Yongqiang Li ◽

Andrew M. Rauth ◽

Xiao Yu Wu

Keyword(s):

Neural Networks ◽

Ion Exchange ◽

Artificial Neural ◽

Doxorubicin Release ◽

Kinetics Of ◽

Prediction Of Kinetics

Modeling the kinetics of a photochemical water treatment process by means of artificial neural networks

Chemical Engineering and Processing - Process Intensification ◽

10.1016/s0255-2701(99)00028-8 ◽

1999 ◽

Vol 38 (4-6) ◽

pp. 373-382 ◽

Cited By ~ 45

Author(s):

Sabine Göb ◽

Esther Oliveros ◽

Stefan H. Bossmann ◽

André M. Braun ◽

Roberto Guardani ◽

...

Keyword(s):

Neural Networks ◽

Water Treatment ◽

Treatment Process ◽

Water Treatment Process ◽

Artificial Neural ◽

Investigation of the drying kinetics of brewer's spent grain ( BSG ) using artificial neural networks and traditional empirical models

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.24344 ◽

2021 ◽

Author(s):

Fabio Henrique Bastiani ◽

Bruno Telli Ceccato ◽

Douglas Junior Nicolin

Keyword(s):

Neural Networks ◽

Empirical Models ◽

Drying Kinetics ◽

Brewer’S Spent Grain ◽

Spent Grain ◽

Artificial Neural ◽

Application of artificial neural networks and DFT-based parameters for prediction of reaction kinetics of ethylbenzene dehydrogenase

Journal of Computer-Aided Molecular Design ◽

10.1007/s10822-006-9042-6 ◽

2006 ◽

Vol 20 (3) ◽

pp. 145-157 ◽

Cited By ~ 29

Author(s):

Maciej Szaleniec ◽

Małgorzata Witko ◽

Ryszard Tadeusiewicz ◽

Jakub Goclon

Keyword(s):

Neural Networks ◽

Reaction Kinetics ◽

Artificial Neural ◽

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural