The use of artificial neural network for modelling adsorption of Congo red onto activated hazelnut shell

Author:

Çimen Mesutoğlu Özgül

Publisher

Springer Science and Business Media LLC

Reference60 articles.

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2. Almroth, B. C., Cartine, J., Jonander, C., Karlsson, M., Langlois, J., Lindstrom, M., Lundin, J., Melander, N., Pesqueda, A., Rahmqvist, I., Renaux, J., Roos, J., Spilsbury, F., Svalin, J., Vestlund, H., Zhao, L., Aske, N., Asmonaite, G., Birgersson, L., et al. (2021). Assessing the effects of textile leachates in fish using multiple testing methods: From gene expression to behavior. Ecotoxicolgy and Environmental Safety, 207, 111523. https://doi.org/10.1016/j.ecoenv.2020.111523

3. Al-Musawi, T. J., Arghavan, S. M. A., Allahyari, E., Arghavan, F. S., Othmani, A., & Nasseh, N. (2023). Adsorption of malachite green dye onto almond peel waste: A study focusing on application of the ANN approach for optimization of the effect of environmental parameters. Biomass Conversion and Biorefinery, 13, 12073–12084. https://doi.org/10.1007/s13399-021-02174-6

4. Al-Musawi, T. J., Rajiv, P., Mengelizadeh, N., Mohammed, I. A., & Balarak, D. (2021). Development of sonophotocatalytic process for degradation of acid orange 7 dye by using titanium dioxide nanoparticles/graphene oxide nanocomposite as a catalyst. Journal of Environmental Management, 292, 112777. https://doi.org/10.1016/j.jenvman.2021.112777

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