Application of random forest, radial basis function neural networks and central composite design for modeling and/or optimization of the ultrasonic assisted adsorption of brilliant... by Ahmadi Azqhandi, M.H., Ghaedi, M., Yousefi, F., Jamshidi, M.

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Evaluation of least square support vector machine, generalized regression neural network and response surface methodology in modeling the removal of Levofloxacin and Ciprofloxacin... by Gholami, Z., Ahmadi Azqhandi, M.H., Hosseini Sabzevari, M., Khazali, F.

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Synthesis of carbon nanotube‐based nanocomposite and application for wastewater treatment by ultrasonicated adsorption process by Ahmadi Azqhandi, M.H., Shekari, M., Ghalami‐Choobar, B.

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Application of machine/statistical learning, artificial intelligence and statistical experimental design for the modeling and optimization of methylene blue and Cd(ii) removal from... by Mazaheri, H, Ghaedi, M, Ahmadi Azqhandi, M. H, Asfaram, A

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Synthesis, characterization, and application of graphene oxide/layered double hydroxide /poly acrylic acid nanocomposite (LDH-rGO-PAA NC) for tetracycline removal: A comprehensive... by Omidi, M.H., Azqhandi, M.H. Ahmadi, Ghalami-Choobar, B.

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Efficient photodegradation of disulfine blue dye and Tetracycline over Robust and Green g-CN/Ag3VO4/PAN nanofibers: Experimental design, RSM, RBF-NN and ANFIS modeling by Deylami, Sh, Sabzevari, M. Hosseini, Ghaedi, M., Azqhandi, M.H. Ahmadi, Marahel, F.

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Adsorption of the azo dyes from wastewater media by a renewable nanocomposite based on the graphene sheets and hydroxyapatite/ZnO nanoparticles by Mossavi, E., Hosseini Sabzevari, M., Ghaedi, M., Ahmadi Azqhandi, M.H.

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Experimental design, RSM and ANN modeling of tetracycline photocatalytic degradation using LDH@CN by Hosseini, O., Zare-Shahabadi, V., Ghaedi, M., Azqhandi, M.H. Ahmadi

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Graphene oxide/double‐layer hydroxide hybrids for efficient crude oil-water separation by Nikzad, E., Sabzevari, M. Hosseini, Ghaedi, M., Azqhandi, M.H. Ahmadi, Marahel, F.

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A rapid and efficient sono-chemistry process for removal of pollutant: Statistical modeling study by Mossavi, E., Sabzevari, M. Hosseini, Ghaedi, M., Azqhandi, M.H. Ahmadi, Hosseini, S.J.

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Corrigendum to “Graphene oxide/double-layer hydroxide hybrids for efficient crude oil-water separation” [Mater. Chem. Phys., Volume 281, 1 April 2022, 125917] by Nikzad, E., Sabzevari, M. Hosseini, Ghaedi, M., Ahmadi Azqhandi, M.H., Marahel, F.

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