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ARTICLES

Mathematical Modeling of the Reduction of Safranin onto Chemically Modified Rice Husks in Stirred Tank Reactor Using Response Surface Methodology and Artificial Neural Network

Pages 52-60 | Published online: 26 Feb 2013

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Harmin Sulistiyaning Titah, Mohd Izuan Effendi Bin Halmi, Siti Rozaimah Sheikh Abdullah, Hassimi Abu Hasan, Mushrifah Idris & Nurina Anuar. (2018) Statistical optimization of the phytoremediation of arsenic by Ludwigia octovalvis- in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN). International Journal of Phytoremediation 20:7, pages 721-729.
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Azadeh Khoshdel & Behrooz Mahmoodzadeh Vaziri. (2016) Novel mathematical models for prediction of microbial growth kinetics and contaminant degradation in bioremediation process. Journal of Environmental Engineering and Landscape Management 24:3, pages 157-164.
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Silvia Mironeasa & Costel Mironeasa. (2019) Dough bread from refined wheat flour partially replaced by grape peels: Optimizing the rheological properties. Journal of Food Process Engineering 42:6.
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Anna Witek-Krowiak, Katarzyna Chojnacka, Daria Podstawczyk, Anna Dawiec & Karol Bubała. (2014) Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process. Bioresource Technology 160, pages 150-160.
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